Links for Keyword: Language
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By Sujata Gupta Some 7,500 languages are spoken or signed around the world today. Though that might sound like a lot, the number could have been up to 10 times higher a few thousand years ago, researchers report July 23 in Science. “That was the golden age of linguistic diversity,” says Claire Bowern, a linguist at Yale University. The finding comes as scientists are racing to document, or ideally preserve, languages nearing extinction. Half of today’s languages are now endangered, and roughly four languages disappear every year. Linguists and cognitive scientists have long sought to identify features of language, whether unique to a given culture or universal, to generate theories about how humans reason about the world. Any underestimate of linguistic diversity would mean those theories are missing a lot of what is possible. But ancient languages are challenging to study. They don’t leave a fossil record. And writing emerged relatively recently — in the past 6,000 years — and among only a subset of languages. So Bowern’s team developed a model to try to quantify what might have happened to language diversity over the past several thousand years, including pinning down when it started to shrink. The team first looked at more than 170 contemporary hunting and gathering groups worldwide as a proxy for past populations. Though such groups have changed across time, many key aspects of their social structure have remained stable, research elsewhere suggests. Chiefly, foraging groups vary in size but typically include several hundred people to more than a thousand. And, broadly speaking, each group speaks a single language. © Society for Science & the Public 2000–2026.
Related chapters from BN: Chapter 19: Language and Lateralization
Related chapters from MM:Chapter 15: Language and Lateralization
Link ID: 30341 - Posted: 07.25.2026
By K. R. Callaway In the flatwoods of South Florida, tiny brown birds emerge from the underbrush to sing from the branches of pine trees. To human ears, their songs sound nearly identical, but any given population of these birds — Bachman’s sparrows — uses as many as 120 different song types to communicate. Like human language, birdsong is dynamic. Every avian generation makes choices about which songs to continue singing, which to improve upon and which to drop altogether. A single Bachman’s sparrow might learn only 48 of the songs used by its community, and for decades researchers have been trying to figure out how baby sparrows choose which songs to adopt. Previous studies have focused on social and cultural factors. During their critical song-learning phase of development, young songbirds imitate the adult males in their group who are successful in courtship or have elaborately ornamented plumage. Now, a new study of Bachman’s sparrows reveals another possible part of the equation: the physical environment. Trees, dense shrubs and even wind can scatter or block the transmission of some sound waves, and researchers suspect that young sparrows are less likely to latch onto degraded songs, leading in turn to some songs becoming rarer than others. “The rarer song types don’t propagate quite as well over distance than the common ones do,” said Rindy Anderson, a behavioral ecologist at Florida Atlantic University and an author of the study, which appeared on March 24 in the journal Bioacoustics. All the Bachman’s sparrow song types have a similar form, with a buzzing or whistling note followed by a trill. Some trills are faster or slower than others, and some complex songs contain trills of several frequencies. Researchers recorded a variety of rare and common sparrow songs and then rerecorded them playing in different environments — among dense trees, windy plains and other places that Bachman’s sparrows frequent but that could distort audio signals. Under these conditions, the researchers found that rarer songs did not propagate as well as common songs. © 2026 The New York Times Company
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 7: Life-Span Development of the Brain and Behavior
Related chapters from MM:Chapter 15: Language and Lateralization; Chapter 13: Memory and Learning
Link ID: 30300 - Posted: 06.27.2026
Max Kozlov In the fraction of a second before a person speaks, their brain weaves together complex grammar, precise vocabulary and the underlying meaning of the language. Now, researchers have tracked the electrical crackle of individual brain cells in real time during unscripted conversations, capturing how sentences are built before a single word is spoken. By observing these neurons in a region of the human brain called the frontotemporal cortex, scientists have discovered that individual brain cells act as specialized linguistic building blocks. “We used to think language was this diffuse, whole-network phenomenon,” says Ziv Williams, a neurosurgeon at Massachusetts General Hospital (MGH) in Boston and co-author of the study. “But it turns out you have specific neurons that only care if a word is a noun, or only care if a phrase is ending.” The work was published today in Nature1. To capture this activity, Williams and his colleagues used electrodes that were temporarily implanted in people with epilepsy to monitor their seizures. Because these participants were awake and speaking freely, the team could observe how the brain operated as they spoke. Neuroscientist Jing Cai, also at MGH, says that this set-up provided a rare opportunity to eavesdrop on the cellular processes that underlie speech, capturing details that standard brain-imaging devices cannot obtain. Access to such data provides a “rare” glimpse into the biological machinery that governs speech, says Angela Friederici, a neuropsychologist at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. © 2026 Springer Nature Limited
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 3: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Related chapters from MM:Chapter 15: Language and Lateralization; Chapter 3: The Chemistry of Behavior: Neurotransmitters and Neuropharmacology
Link ID: 30291 - Posted: 06.20.2026
By K. R. Callaway Speak a language your whole life and its grammatical rules become ingrained. That’s why you might correctly guess that the present participle of the verb “absquatulate” is “absquatulating,” even if you are completely unfamiliar with the word. But the rules of grammar can vary widely between languages, and neuroscientists long theorized that bilingual speakers must process different languages with separate patterns of brain activity. In a new study, however, researchers found that these patterns were more alike than had been expected. When deciding how to make a word singular or plural, for instance, bilingual people exhibit strikingly similar brain activity regardless of whether they are speaking in their first or second language. “It wasn’t obvious that it was going to be so shared,” said Esti Blanco-Elorrieta, a psychologist and neuroscientist at New York University and an author of the study, which was published on Monday in the journal JNeurosci. “I think this is arguably one of the first very fine-grained findings of how truly integrated two languages in the brain are.” Early research viewed bilingualism as an “add on” or “disruption” to the processing of one’s native language, said Judith Kroll, a psycholinguist at the University of California, Irvine who was not involved in the new study. Subsequent studies have found that bilingual brains tend to display physical differences, such as more efficient white matter and changes to the gray matter, and to perform better on memory and concentration tasks. Now scientists are probing further, to understand whether core aspects of the brain’s neural network does double or triple duty to process multiple languages. © 2026 The New York Times Company
Related chapters from BN: Chapter 19: Language and Lateralization
Related chapters from MM:Chapter 15: Language and Lateralization
Link ID: 30286 - Posted: 06.17.2026
By Jake Currie Chimpanzees and humans share 98 percent of their genomes, so what’s in that 2 percent that makes us uniquely human? According to a new study published in Science Advances, a tiny portion of these genes play an outsized role in our language skills—and Neanderthals had the same sequences. Subscribe to skip ads Featured Video These segments of the human genome, known as Human Ancestor Quickly Evolved Regions (HAQERs) are non-coding sequences that showed accelerated evolution after humans split from the ancestor they shared with apes. Even though they represent only 0.1 percent of our genes, they’re responsible for the neural “hardware” for language. “What we’re seeing is how a very small part of the genome can have an outsized influence, not just on who we were as a species, but on who we are as individuals,” study author Jacob Michaelson of the University of Iowa said in a statement. “These aren’t genes we’re talking about. They’re regulatory regions that act like the volume knob on genes.” The HAQERs also interact with another vital speech gene: FOXP2. Identified in 1998, FOXP2 is a transcription factor active in the development of the neural circuitry of language use, and mutations in the gene can cause speech problems. “So, if the HAQERs are like volume knobs that can be turned, FOXP2 is one of the hands that is turning these volume knobs,” Michaelson said. © Nautilus 2026
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 6: Evolution of the Brain and Behavior
Related chapters from MM:Chapter 15: Language and Lateralization
Link ID: 30215 - Posted: 04.26.2026
By Natalia Mesa A region of the cerebellum shows language specificity akin to that of cortical language regions, indicating that it might be part of the broader language network, according to a new brain-imaging study. “This is the first time we see an area outside of the core left-hemisphere language areas that behaves so similarly to those core areas,” says study investigator Ev Fedorenko, associate professor of brain and cognitive sciences at the Massachusetts Institute of Technology. Initially thought to coordinate only movement, the cerebellum also contributes to cognitive processes, such as social reward, abstract reasoning and working memory, according to studies from the past decade. But despite the fact that people with cerebellar lesions have subtle language struggles, the region’s contributions to that skill have been ignored until recently, Fedorenko says. With this new work, “I think it becomes harder to dismiss language responses as somehow artifactual.” Fedorenko and her team analyzed nearly 1,700 whole-brain functional MRI experiments conducted over the course of 15 years. They originally collected and analyzed those scans to identify language-selective regions of the neocortex, but they reanalyzed many of them to determine the cerebellum’s role in linguistic processing. Four cerebellar regions activated robustly when participants performed language-related tasks, such as reading passages of text or listening to someone else reading the passages aloud, in line with previous work. But only one region responded exclusively to these language-related tasks; it did not activate during a variety of nonlinguistic tasks—including movement, arithmetic tasks and a spatial working memory task—or when participants listened to music or watched videos of faces and bodies. The findings were published last month in Neuron. © 2026 Simons Foundation
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 15: Language and Lateralization; Chapter 5: The Sensorimotor System
Link ID: 30110 - Posted: 02.07.2026
By Laura Sanders The brain’s “little brain” may hold big promise for people with language trouble. Tucked into the base of the brain, the fist-sized cerebellum is most known for its role in movement, posture and coordination. A new study maps the language system in this out-of-the-way place. These results, published January 22 in Neuron, uncover a spot in the cerebellum that shows strong and selective activity for language. The new study is “excellent,” says neurologist and cerebellum researcher Jeremy Schmahmann of Massachusetts General Hospital and Harvard Medical School in Boston. His work and that of others have shown that the cerebellum contributes to language and thinking more generally. The new research scrutinized the cerebellum in detail, “confirming and extending previous observations and contributing to our understanding” of the cerebellum’s activity, he says. Neuroscientist Colton Casto combed through about 15 years of brain scanning data collected by study coauthor Evelina Fedorenko, a cognitive neuroscientist at MIT, and her colleagues. Putting the data all together, the scans of 846 people showed brain activity in four spots in the right side of the cerebellum as people read or listened to a story. Three of these spots were also active when people did other things, such as working out a math problem, or listening to music or watching a movie without words. But one spot was more discerning, says Casto, of MIT and Harvard University. This region didn’t respond to nonverbal movies or math. It also ignored orchestral or jazz music, which, like language, relies on syntax and patterns and sound. Instead, this spot is attuned specifically to words. “You have to be reading or listening to language to fully recruit this region,” Casto says. © Society for Science & the Public 2000–2026.
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 15: Language and Lateralization; Chapter 5: The Sensorimotor System
Link ID: 30091 - Posted: 01.24.2026
Nell Greenfieldboyce If you've ever had to spell out words like W-A-L-K or T-R-E-A-T around a dog, you know that some dogs listen in to humans' chitchat and can pick out certain key words. Well, it turns out that some genius dogs can learn a brand new word, like the name of an unfamiliar toy, by just overhearing brief interactions between two people. Your dog is a good boy, but that's not necessarily because of its breed Animals Your dog is a good boy, but that's not necessarily because of its breed What's more, these "gifted" dogs can learn the name of a new toy even if they first hear this word when the toy is out of sight — as long as their favorite human is looking at the spot where the toy is hidden. That's according to a new study in the journal Science. "What we found in this study is that the dogs are using social communication. They're using these social cues to understand what the owners are talking about," says cognitive scientist Shany Dror of Eötvös Loránd University and the University of Veterinary Medicine, Vienna. Sponsor Message "This tells us that the ability to use social information is actually something that humans probably had before they had language," she says, "and language was kind of hitchhiking on these social abilities." Fetch the ball — or the frisbee? © 2026 npr
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 6: Evolution of the Brain and Behavior
Related chapters from MM:Chapter 15: Language and Lateralization
Link ID: 30075 - Posted: 01.10.2026
By John Pavlus Even in a world where large language models (LLMs) and AI chatbots are commonplace, it can be hard to fully accept that fluent writing can come from an unthinking machine. That’s because, to many of us, finding the right words is a crucial part of thought — not the outcome of some separate process. But what if our neurobiological reality includes a system that behaves something like an LLM? Long before the rise of ChatGPT, the cognitive neuroscientist Ev Fedorenko (opens a new tab) began studying how language works in the adult human brain. The specialized system she has described, which she calls “the language network,” maps the correspondences between words and their meanings. Her research suggests that, in some ways, we do carry around a biological version of an LLM — that is, a mindless language processor — inside our own brains. “You can think of the language network as a set of pointers,” Fedorenko said. “It’s like a map, and it tells you where in the brain you can find different kinds of meaning. It’s basically a glorified parser that helps us put the pieces together — and then all the thinking and interesting stuff happens outside of [its] boundaries.” Fedorenko has been gathering biological evidence of this language network for the past 15 years in her lab at the Massachusetts Institute of Technology. Unlike a large language model, the human language network doesn’t string words into plausible-sounding patterns with nobody home; instead, it acts as a translator between external perceptions (such as speech, writing and sign language) and representations of meaning encoded in other parts of the brain (including episodic memory and social cognition, which LLMs don’t possess). Nor is the human language network particularly large: If all of its tissue were clumped together, it would be about the size of a strawberry (opens a new tab). But when it is damaged, the effect is profound. An injured language network can result in forms of aphasia (opens a new tab) in which sophisticated cognition remains intact but trapped within a brain unable to express it or distinguish incoming words from others. © 2025 Simons Foundation
Related chapters from BN: Chapter 19: Language and Lateralization
Related chapters from MM:Chapter 15: Language and Lateralization
Link ID: 30043 - Posted: 12.06.2025
By Kathryn Hulick Dolphins whistle, humpback whales sing and sperm whales click. Now, a new analysis of sperm whale codas — a unique series of clicks — suggests a previously unrecognized acoustic pattern. The finding, reported November 12 in Open Mind, implies that the whales’ clicking communications might be more complex — and meaningful — than previously realized. But the study faces sharp criticism from marine biologists who argue that these patterns are more likely to be recording artifacts or by-products of alertness rather than language-like signals. For decades, biologists have known that both the number and timing of clicks in a coda matter and can even identify the clan of a sperm whale (Physeter macrocephalus). Sperm whales in the eastern Caribbean Sea off the coast of Dominica, for example, often use a series of two slow and three quick sounds: “click…click… click-click-click.” Relying on artificial intelligence and linguistics analysis, the new study finds that sometimes this series sounds more like “clack…clack… clack-clack-clack,” says Shane Gero, a marine biologist at Project CETI, a Dominica-based nonprofit studying sperm whale communication. Project CETI linguist Gašper Beguš wonders about the meanings a coda might convey. “It sounds really alien,” almost like Morse code, says Beguš, of the University of California, Berkeley. Based on his team’s result, he now speculates that sperm whales might use clicks or clacks “in a similar way as we use our vowels to transmit meaning.” Not everyone agrees with that assessment. The comparison to vowels is “completely nonsense,” says Luke Rendell, a marine biologist at the University of St. Andrews in Scotland who has studied sperm whales for more than 30 years. “There’s no evidence that the animals are responding in any way to this [new pattern].” © Society for Science & the Public 2000–2025
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 6: Evolution of the Brain and Behavior
Related chapters from MM:Chapter 15: Language and Lateralization
Link ID: 30013 - Posted: 11.15.2025
Katie Kavanagh Speaking multiple languages could slow down brain ageing and help to prevent cognitive decline, a study of more than 80,000 people has found. The work, published in Nature Aging on 10 November1, suggests that people who are multilingual are half as likely to show signs of accelerated biological ageing as are those who speak just one language. “We wanted to address one of the most persistent gaps in ageing research, which is if multilingualism can actually delay ageing,” says study co-author Agustín Ibáñez, a neuroscientist at the Adolfo Ibáñez University in Santiago, Chile. Previous research in this area has suggested that speaking multiple languages can improve cognitive functions such memory and attention2, which boosts brain health as we get older. But many of these studies rely on small sample sizes and use unreliable methods of measuring ageing, which leads to results that are inconsistent and not generalizable. “The effects of multilingualism on ageing have always been controversial, but I don’t think there has been a study of this scale before, which seems to demonstrate them quite decisively,” says Christos Pliatsikas, a cognitive neuroscientist at the University of Reading, UK. The paper’s results could “bring a step change to the field”, he adds. They might also “encourage people to go out and try to learn a second language, or keep that second language active”, says Susan Teubner-Rhodes, a cognitive psychologist at Auburn University in Alabama. © 2025 Springer Nature Limited
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 7: Life-Span Development of the Brain and Behavior
Related chapters from MM:Chapter 15: Language and Lateralization; Chapter 13: Memory and Learning
Link ID: 30005 - Posted: 11.12.2025
By Meghie Rodrigues Babies start processing language before they are born, a new study suggests. A research team in Montreal has found that newborns who had heard short stories in foreign languages while in the womb process those languages similarly to their native tongue. The study, published in August in Nature Communications Biology, is the first to use brain imaging to show what neuroscientists and psychologists had long suspected. Previous research had shown that fetuses and newborns can recognize familiar voices and rhythms and even that they prefer their native language soon after birth. But these findings come mostly from behavioral cues—sucking patterns, head turns or heart rate changes—rather than direct evidence from the brain. “We cannot say babies ‘learn’ a language prenatally,” says Anne Gallagher, a neuropsychologist at the University of Montreal and senior author of the study. What we can say, she adds, is that neonates develop familiarity with one or more languages during gestation, which shapes their brain networks at birth. The research team recruited 60 people for the experiment, all of them about 35 weeks into their pregnancy. Of those, 39 exposed their fetuses to 10 minutes of prerecorded stories in French (their native language) and another 10 minutes of the same stories in either Hebrew or German at least once every other day until birth. These languages were chosen because their acoustic and phonological properties are very distinctfrom French and from each other, explains co-lead author Andréanne René, a Ph.D. candidate in clinical neuropsychology at the University of Montreal. The other 21 participants were part of the control group; their fetuses were exposed to French in their natural environments, with no special input. © 2025 SCIENTIFIC AMERICAN
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 7: Life-Span Development of the Brain and Behavior
Related chapters from MM:Chapter 15: Language and Lateralization; Chapter 13: Memory and Learning
Link ID: 29959 - Posted: 10.08.2025
By Carl Zimmer For decades, neuroengineers have dreamed of helping people who have been cut off from the world of language. A disease like amyotrophic lateral sclerosis, or A.L.S., weakens the muscles in the airway. A stroke can kill neurons that normally relay commands for speaking. Perhaps, by implanting electrodes, scientists could instead record the brain’s electric activity and translate that into spoken words. Now a team of researchers has made an important advance toward that goal. Previously they succeeded in decoding the signals produced when people tried to speak. In the new study, published on Thursday in the journal Cell, their computer often made correct guesses when the subjects simply imagined saying words. Christian Herff, a neuroscientist at Maastricht University in the Netherlands who was not involved in the research, said the result went beyond the merely technological and shed light on the mystery of language. “It’s a fantastic advance,” Dr. Herff said. The new study is the latest result in a long-running clinical trial, called BrainGate2, that has already seen some remarkable successes. One participant, Casey Harrell, now uses his brain-machine interface to hold conversations with his family and friends. In 2023, after A.L.S. had made his voice unintelligible, Mr. Harrell agreed to have electrodes implanted in his brain. Surgeons placed four arrays of tiny needles on the left side, in a patch of tissue called the motor cortex. The region becomes active when the brain creates commands for muscles to produce speech. A computer recorded the electrical activity from the implants as Mr. Harrell attempted to say different words. Over time, with the help of artificial intelligence, the computer accurately predicted almost 6,000 words, with an accuracy of 97.5 percent. It could then synthesize those words using Mr. Harrell’s voice, based on recordings made before he developed A.L.S. © 2025 The New York Times Company
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 11: Motor Control and Plasticity
Related chapters from MM:Chapter 15: Language and Lateralization; Chapter 5: The Sensorimotor System
Link ID: 29892 - Posted: 08.16.2025
David Farrier Charles Darwin suggested that humans learned to speak by mimicking birdsong: our ancestors’ first words may have been a kind of interspecies exchange. Perhaps it won’t be long before we join the conversation once again. The race to translate what animals are saying is heating up, with riches as well as a place in history at stake. The Jeremy Coller Foundation has promised $10m to whichever researchers can crack the code. This is a race fuelled by generative AI; large language models can sort through millions of recorded animal vocalisations to find their hidden grammars. Most projects focus on cetaceans because, like us, they learn through vocal imitation and, also like us, they communicate via complex arrangements of sound that appear to have structure and hierarchy. Sperm whales communicate in codas – rapid sequences of clicks, each as brief as 1,000th of a second. Project Ceti (the Cetacean Translation Initiative) is using AI to analyse codas in order to reveal the mysteries of sperm whale speech. There is evidence the animals take turns, use specific clicks to refer to one another, and even have distinct dialects. Ceti has already isolated a click that may be a form of punctuation, and they hope to speak whaleish as soon as 2026. The linguistic barrier between species is already looking porous. Last month, Google released DolphinGemma, an AI program to translate dolphins, trained on 40 years of data. In 2013, scientists using an AI algorithm to sort dolphin communication identified a new click in the animals’ interactions with one another, which they recognised as a sound they had previously trained the pod to associate with sargassum seaweed – the first recorded instance of a word passing from one species into another’s native vocabulary. The prospect of speaking dolphin or whale is irresistible. And it seems that they are just as enthusiastic. In November last year, scientists in Alaska recorded an acoustic “conversation” with a humpback whale called Twain, in which they exchanged a call-and-response form known as “whup/throp” with the animal over a 20-minute period. In Florida, a dolphin named Zeus was found to have learned to mimic the vowel sounds, A, E, O, and U. © 2025 Guardian News & Media Limited
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 6: Evolution of the Brain and Behavior
Related chapters from MM:Chapter 15: Language and Lateralization
Link ID: 29821 - Posted: 06.04.2025
Sofia Marie Haley I approach a flock of mountain chickadees feasting on pine nuts. A cacophony of sounds, coming from the many different bird species that rely on the Sierra Nevada’s diverse pine cone crop, fill the crisp mountain air. The strong “chick-a-dee” call sticks out among the bird vocalizations. The chickadees are communicating to each other about food sources – and my approach. Mountain chickadees are a member of the family Paridae, which is known for its complex vocal communication systems and cognitive abilities. Along with my advisers, behavioral ecologists Vladimir Pravosudov and Carrie Branch, I’m studying mountain chickadees at our study site in Sagehen Experimental Forest, outside of Truckee, California, for my doctoral research. I am focusing on how these birds convey a variety of information with their calls. The chilly autumn air on top of the mountain reminds me that it will soon be winter. It is time for the mountain chickadees to leave the socially monogamous partnerships they had while raising their chicks to form larger flocks. Forming social groups is not always simple; young chickadees are joining new flocks, and social dynamics need to be established before the winter storms arrive. I can hear them working this out vocally. There’s an unusual variety of complex calls, with melodic “gargle calls” at the forefront, coming from individuals announcing their dominance over other flock members. Examining and decoding bird calls is becoming an increasingly popular field of study, as scientists like me are discovering that many birds – including mountain chickadees – follow systematic rules to share important information, stringing together syllables like words in a sentence. © 2010–2025, The Conversation US, Inc.
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 6: Evolution of the Brain and Behavior
Related chapters from MM:Chapter 15: Language and Lateralization
Link ID: 29807 - Posted: 05.28.2025
By Erin Wayman Barbara J. King remembers the first time she met Kanzi the bonobo. It was the late 1990s, and the ape was living in a research center in Georgia. King walked in and told Kanzi she had a present. A small, round object created a visible outline in the front pocket of her jeans. Kanzi picked up a board checkered with colorful symbols and pointed to the one meaning “egg” and then to “question.” An egg? No, not an egg. A ball. But “he asked an on-point question, and even an extremely simple conversation was just amazing,” says King, a biological anthropologist at William & Mary in Williamsburg, Va. Born in 1980, Kanzi began learning to communicate with symbols as an infant. He ultimately mastered more than 300 symbols, combined them in novel ways and understood spoken English. Kanzi was arguably the most accomplished among a cohort of “talking” apes that scientists intensely studied to understand the origins of language and to probe the ape mind. He was also the last of his kind. In March, Kanzi died. “It’s not just Kanzi that is gone; it’s this whole field of inquiry,” says comparative psychologist Heidi Lyn of the University of South Alabama in Mobile. Lyn had worked with Kanzi on and off for 30 years. Kanzi’s death offers an opportunity to reflect on what decades of ape-language experiments taught us — and at what cost. A history of ape-language experiments Language — communication marked by using symbols, grammar and syntax — has long been considered among the abilities that make humans unique. And when it comes to delineating the exact boundary separating us from other animals, scientists often turn to our closest living relatives, the great apes. © Society for Science & the Public 2000–2025.
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 6: Evolution of the Brain and Behavior
Related chapters from MM:Chapter 15: Language and Lateralization
Link ID: 29797 - Posted: 05.21.2025
By Mikael Angelo Francisco A comic explains the highs and lows of birdsong Mikael Angelo Francisco is a science journalist and illustrator from the Philippines who enjoys writing about paleontology, biodiversity, environment conservation, and science in pop culture. He has written and edited books about media literacy, Filipino scientists, and science trivia. © 2025 NautilusNext Inc.
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 6: Evolution of the Brain and Behavior
Related chapters from MM:Chapter 15: Language and Lateralization
Link ID: 29794 - Posted: 05.21.2025
By Christa Lesté-Lasserre Can a robot arm wave hello to a cuttlefish—and get a hello back? Could a dolphin’s whistle actually mean “Where are you?” And are monkeys quietly naming each other while we fail to notice? These are just a few of the questions tackled by the finalists for this year’s Dolittle prize, a $100,000 award recognizing early breakthroughs in artificial intelligence (AI)-powered interspecies communication. The winning project—announced today—explores how dolphins use shared, learned whistles that may carry specific meanings—possibly even warning each other about danger, or just expressing confusion. The other contending teams—working with marmosets, cuttlefish, and nightingales—are also pushing the boundaries of what human-animal communication might look like. The prize marks an important milestone in the Coller Dolittle Challenge, a 5-year competition offering up to $10 million to the first team that can achieve genuine two-way communication with animals. “Part of how this initiative was born came from my skepticism,” says Yossi Yovel, a neuroecologist at Tel Aviv University and one of the prize’s organizers. “But we really have much better tools now. So this is the time to revisit a lot of our previous assumptions about two-way communication within the animal’s own world.” Science caught up with the four finalists to hear how close we really are to cracking the animal code. This interview has been edited for clarity and length. Cuttlefish (Sepia officinalis and S. bandensis) lack ears and voices, but they apparently make up for this with a kind of sign language. When shown videos of comrades waving their arms, they wave back.
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 6: Evolution of the Brain and Behavior
Related chapters from MM:Chapter 15: Language and Lateralization
Link ID: 29788 - Posted: 05.17.2025
By Jake Buehler Grunts, barks, screams and pants ring through Taï National Park in Cȏte d’Ivoire. Chimpanzees there combine these different calls like linguistic Legos to relay complex meanings when communicating, researchers report May 9 in Science Advances. Chimps can combine and flexibly rearrange pairs of sounds to convey different ideas or meanings, an ability that investigators have not documented in other nonhuman animals. This system may represent a key evolutionary transition between vocal communication strategies of other animals and the syntax rules that structure human languages. “The difference between human language and how other animals communicate is really about how we combine sounds to form words, and how we combine words to form sentences,” says Cédric Girard-Buttoz, an evolutionary biologist at CNRS in Lyon, France. Chimpanzees (Pan troglodytes) were known to have a particularly complicated vocal repertoire, with about a dozen single sounds that they can combine into hundreds of sequences. But it was unclear if the apes used multiple approaches when combining sounds to make new meanings, like in human language. In 2019 and 2020, Girard-Buttoz and his colleagues recorded 53 different adult chimpanzees living in the Taï forest. In all, the team analyzed over 4,300 sounds and described 16 different “bigrams” — short sequences of two sounds, like a grunt followed by a bark, or a panted hoo followed by a scream. The team then used statistical analyses to map those bigrams to behaviors to reveal some of the bigrams’ meanings. The result? Chimpanzees don’t combine sounds in a single, consistent way. They have at least four different methods — a first seen outside of humans. © Society for Science & the Public 2000–2025
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 6: Evolution of the Brain and Behavior
Related chapters from MM:Chapter 15: Language and Lateralization
Link ID: 29781 - Posted: 05.11.2025
By Rachel Lehmann-Haupt On a brisk January evening this year, I was speeding down I–295 in northeast Florida, under a full moon, to visit my dad’s brain. As I drove past shadowy cypress swamps, sinewy river estuaries, and gaudy-hued billboards of condominiums with waterslides and red umbrellas boasting, “Best place to live in Florida,” I was aware of the strangeness of my visit. Most people pay respects to their loved ones at memorials and grave sites, but I was intensely driven to check in on the last remaining physical part of my dad, immortalized in what seemed like the world’s most macabre library. Michael DeTure, a professor of neuroscience, stepped out of a golf cart to meet me. “Welcome to the bunker. Just 8,000 of your quietest friends in here,” he said in a melodic southern drawl, grinning in a way that told me he’s made this joke before. The bunker is an indiscriminate warehouse, part of the Mayo Clinic’s Jacksonville, Florida campus that houses its brain bank. DeTure opened the warehouse door, and I was met with a blast of cold air. In the back of the warehouse sat rows of buzzing white freezers. DeTure pointed to the freezer where my dad’s brain sat in a drawer in a plastic bag with his name written on it in black Sharpie pen. I welled up with tears and a feeling of intense fear. The room suddenly felt too cold, too sterile, too bright, and my head started to spin. I wanted to run away from this place. And then my brain escaped for me. I saw my dad on a beach on Cape Cod in 1977. He was in a bathing suit, shirtless, lying on a towel. I was 7 years old and snuggled up to him to protect myself from the wind. He was reading aloud to my mom and me from Evelyn Waugh’s novel, A Handful of Dust, whose title is from T.S. Eliot’s poem, “The Wasteland”: “I will show you fear in a handful of dust.” He was reading the part about Tony Last, an English gentleman, being imprisoned by an eccentric recluse who forces him to read Dickens endlessly. © 2025 NautilusNext Inc.,
Related chapters from BN: Chapter 19: Language and Lateralization; Chapter 2: Functional Neuroanatomy: The Cells and Structure of the Nervous System
Related chapters from MM:Chapter 15: Language and Lateralization; Chapter 2: Neurophysiology: The Generation, Transmission, and Integration of Neural Signals
Link ID: 29776 - Posted: 05.07.2025


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