The Language Neuroscience Podcast
Stephen M. Wilson
A podcast about the scientific study of language and the brain. Neuroscientist Stephen Wilson talks with leading and up-and-coming researchers about their work and ideas. This podcast is geared to an audience of scientists who are working in the field of language neuroscience, from students to postdocs to faculty.
3 Listeners
All episodes
Best episodes
Seasons
Top 10 The Language Neuroscience Podcast Episodes
Goodpods has curated a list of the 10 best The Language Neuroscience Podcast episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to The Language Neuroscience Podcast for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite The Language Neuroscience Podcast episode by adding your comments to the episode page.
A conversation with Sophie Scott
The Language Neuroscience Podcast
02/09/21 • 58 min
Stephen talks with Sophie Scott, CBE, Professor of Cognitive Neuroscience and Director of the Institute of Cognitive Neuroscience at University College London.
1 Listener
‘Speech computations of the human superior temporal gyrus’ with Eddie Chang
The Language Neuroscience Podcast
09/20/22 • 82 min
In this episode, I talk with Eddie Chang, Professor of Neurological Surgery at the University of California, San Francisco, about his recent paper ‘Speech computations of the human superior temporal gyrus’.
Bhaya-Grossman I, Chang EF. Speech computations of the human superior temporal gyrus. Annu Rev Psychol 2022; 73: 79-102. [doi | pdf]
Chang EF, Rieger JW, Johnson K, Berger MS, Barbaro NM, Knight RT. Categorical speech representation in human superior temporal gyrus. Nat Neurosci 2010; 13: 1428-33. [doi]
Sjerps MJ, Fox NP, Johnson K, Chang EF. Speaker-normalized sound representations in the human auditory cortex. Nat Commun 2019; 10: 2465. [doi]
Leonard MK, Baud MO, Sjerps MJ, Chang EF. Perceptual restoration of masked speech in human cortex. Nat Commun 2016; 7: 13619. [doi]
Hamilton LS, Edwards E, Chang EF. A spatial map of onset and sustained responses to speech in the human superior temporal gyrus. Curr Biol 2018; 28: 1860-71. [doi]
Oganian Y, Chang EF. A speech envelope landmark for syllable encoding in human superior temporal gyrus. Sci Adv 2019; 5: eaay6279. [doi]
1 Listener
Deep learning algorithms, natural language processing, and the brain, with Jean-Rémi King
The Language Neuroscience Podcast
07/10/23 • 95 min
In the episode, I talk with Jean-Rémi King, Research scientist and team leader at Meta AI, and Associate Researcher at CNRS, École Normale Supérieure, about three recent papers from his lab on deep learning algorithms, natural language processing, and the brain.
Millet J, Caucheteux C, Orhan P, Boubenec Y, Gramfort A, Dunbar E, Pallier C, King J-R. Toward a realistic model of speech processing in the brain with self-supervised learning. In Advances in Neural Information Processing Systems (NeurIPS) 2022. [doi]
Caucheteux C, King JR. Brains and algorithms partially converge in natural language processing. Commun Biol. 2022;5:134. [doi]
Caucheteux C, Gramfort A, King JR. Evidence of a predictive coding hierarchy in the human brain listening to speech. Nat Hum Behav. 2023;7:430-41. [doi]
1 Listener
A conversation with Ev Fedorenko
The Language Neuroscience Podcast
01/25/21 • 52 min
Stephen talks with Ev Fedorenko, Associate Professor of Brain and Cognitive Sciences at MIT.
1 Listener
Neurotypology, predictive coding, and dorsal and ventral streams, with Ina Bornkessel-Schlesewsky
The Language Neuroscience Podcast
08/24/21 • 56 min
In this episode, I talk with Ina Bornkessel-Schlesewsky, Professor of Cognitive Neuroscience at the University of South Australia, about neurotypology, predictive coding, and dorsal and ventral streams.
Bornkessel-Schlesewsky lab website
Bornkessel I, Zysset S, Friederici AD, Von Cramon DY, Schlesewsky M. Who did what to whom? The neural basis of argument hierarchies during language comprehension. NeuroImage 2005; 26: 221-33. [doi]
Bornkessel-Schlesewsky I, Schlesewsky M. Reconciling time, space and function: a new dorsal-ventral stream model of sentence comprehension. Brain Lang 2013; 125: 60-76. [doi]
Bornkessel-Schlesewsky I, Schlesewsky M, Small SL, Rauschecker JP. Neurobiological roots of language in primate audition: common computational properties. Trends Cogn Sci 2015; 19: 142-50. [doi]
Bornkessel-Schlesewsky I, Schlesewsky M. Toward a neurobiologically plausible model of language-related, negative event-related potentials. Front Psychol 2019; 10: 298. [doi]
1 Listener
‘Disentangling Semantic Composition and Semantic Association in the Left Temporal Lobe’ with Liina Pylkkänen
The Language Neuroscience Podcast
11/16/22 • 64 min
In this episode, I talk with Liina Pylkkänen, Professor of Linguistics and Psychology at NYU, about her research program, and in particular her recent paper ‘Disentangling semantic composition and semantic association in the left temporal lobe’.
Li J, Pylkkänen L. Disentangling semantic composition and semantic association in the left temporal lobe. J Neurosci 2021; 41: 6526-38. [doi]
1 Listener
‘Neuroprosthesis for decoding speech in a paralyzed person with anarthria’ with David Moses and Jessie Liu
The Language Neuroscience Podcast
08/06/21 • 66 min
In this episode, I talk with David Moses and Jessie Liu about their recent NEJM paper ‘Neuroprosthesis for decoding speech in a paralyzed person with anarthria’, in which they decoded intended utterances from the brain of an individual with anarthria using an electrode array implanted of sensorimotor cortex and machine learning.
Moses DA, Metzger SL, Liu JR, et al. Neuroprosthesis for decoding speech in a paralyzed person with anarthria. N Eng J Med 2021; 385: 217-27. [doi]
Related papers:
Bouchard KE, Mesgarani N, Johnson K, Chang EF. Functional organization of human sensorimotor cortex for speech articulation. Nature 2013; 495: 327-32. [doi]
Chartier J, Anumanchipalli GK, Johnson K, Chang EF. Encoding of articulatory kinematic trajectories in human speech sensorimotor cortex. Neuron 2018; 98: 1042-54. [doi]
Anumanchipalli GK, Chartier J, Chang EF. Speech synthesis from neural decoding of spoken sentences. Nature 2019; 568: 493-8. [doi]
Moses DA, Leonard MK, Makin JG, Chang EF. Real-time decoding of question-and-answer speech dialogue using human cortical activity. Nat Commun 2019; 10: 3096. [doi]
Makin JG, Moses DA, Chang EF. Machine translation of cortical activity to text with an encoder–decoder framework. Nat Neurosci 2020; 23: 575-82. [doi]
Language development and perinatal stroke, with Elissa Newport
The Language Neuroscience Podcast
11/23/21 • 70 min
In this episode, I talk with Elissa Newport, Professor of Neurology and Rehabilitation Medicine at Georgetown University Medical Center, about her work on the neural and cognitive underpinnings of language development, including statistical learning, language after perinatal stroke, lateralization, plasticity, the critical period, and more.
Saffran JR, Aslin RN, Newport EL. Statistical learning by 8-month-old infants. Science 1996; 274: 1926-8. [doi]
Newport EL, Landau B, Seydell-Greenwald A, Turkeltaub PE, Chambers CE, Dromerick AW, Carpenter J, Berl MM, Gaillard WD. Revisiting Lenneberg’s hypotheses about early developmental plasticity: Language organization after left-hemisphere perinatal stroke. Biolinguistics 2017; 11: 407-22. [doi]
Olulade OA, Seydell-Greenwald A, Chambers CE, Turkeltaub PE, Dromerick AW, Berl MM, Gaillard WD, Newport EL. The neural basis of language development: Changes in lateralization over age. Proc Natl Acad Sci USA 2020; 117: 23477-83. [doi]
Clinical Aphasiology Conference 2021 Recap with Maya Henry, Andrew DeMarco, and Sarah Schneck
The Language Neuroscience Podcast
05/25/21 • 37 min
Stephen is joined by Maya Henry, Andrew DeMarco, and Sarah Schneck to discuss some of our favorite presentations from the Clinical Aphasiology Conference 2021.
https://langneurosci.org/podcast/ep9
‘Situating the left-lateralized language network in the broader organization of multiple specialized large-scale distributed networks’ with Rodrigo Braga
The Language Neuroscience Podcast
09/14/21 • 53 min
In this episode, I talk with Rodrigo Braga, Assistant Professor of Neurology at Northwestern University, about his recent paper on identifying the language network from functional connectivity analyses of resting state data.
Braga RM, DiNicola LM, Becker HC, Buckner RL. Situating the left-lateralized language network in the broader organization of multiple specialized large-scale distributed networks. J Neurophysiol 2020; 124: 1415-48. [doi]
Show more best episodes
Show more best episodes
FAQ
How many episodes does The Language Neuroscience Podcast have?
The Language Neuroscience Podcast currently has 31 episodes available.
What topics does The Language Neuroscience Podcast cover?
The podcast is about Life Sciences, Language, Neuroscience, Podcasts, Brain and Science.
What is the most popular episode on The Language Neuroscience Podcast?
The episode title 'Deep learning algorithms, natural language processing, and the brain, with Jean-Rémi King' is the most popular.
What is the average episode length on The Language Neuroscience Podcast?
The average episode length on The Language Neuroscience Podcast is 67 minutes.
How often are episodes of The Language Neuroscience Podcast released?
Episodes of The Language Neuroscience Podcast are typically released every 25 days, 17 hours.
When was the first episode of The Language Neuroscience Podcast?
The first episode of The Language Neuroscience Podcast was released on Jan 25, 2021.
Show more FAQ
Show more FAQ