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pro vyhledávání: '"Churchland, A."'
The capabilities of transformer networks such as ChatGPT and other Large Language Models (LLMs) have captured the world's attention. The crucial computational mechanism underlying their performance relies on transforming a complete input sequence - f
Externí odkaz:
http://arxiv.org/abs/2401.14267
Autor:
Mark M Churchland
Publikováno v:
eLife, Vol 13 (2024)
Computational principles shed light on why movement is preceded by preparatory activity within the neural networks that control muscles.
Externí odkaz:
https://doaj.org/article/62966d77b39c4ddaa1ec05c4a47a78fa
Autor:
Zador, Anthony, Escola, Sean, Richards, Blake, Ölveczky, Bence, Bengio, Yoshua, Boahen, Kwabena, Botvinick, Matthew, Chklovskii, Dmitri, Churchland, Anne, Clopath, Claudia, DiCarlo, James, Ganguli, Surya, Hawkins, Jeff, Koerding, Konrad, Koulakov, Alexei, LeCun, Yann, Lillicrap, Timothy, Marblestone, Adam, Olshausen, Bruno, Pouget, Alexandre, Savin, Cristina, Sejnowski, Terrence, Simoncelli, Eero, Solla, Sara, Sussillo, David, Tolias, Andreas S., Tsao, Doris
Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI. A core component of this is the embodied Turing test, which c
Externí odkaz:
http://arxiv.org/abs/2210.08340
Autor:
Zifang Zhao, Han Yu, Duncan J. Wisniewski, Claudia Cea, Liang Ma, Eric M. Trautmann, Mark M. Churchland, Jennifer N. Gelinas, Dion Khodagholy
Publikováno v:
Advanced Science, Vol 11, Iss 27, Pp n/a-n/a (2024)
Abstract Epidermal electrophysiology is a non‐invasive method used in research and clinical practices to study the electrical activity of the brain, heart, nerves, and muscles. However, electrode/tissue interlayer materials such as ionically conduc
Externí odkaz:
https://doaj.org/article/39b6d90346bb4bce9d7b2bef9e93574a
Autor:
Pei, Felix, Ye, Joel, Zoltowski, David, Wu, Anqi, Chowdhury, Raeed H., Sohn, Hansem, O'Doherty, Joseph E., Shenoy, Krishna V., Kaufman, Matthew T., Churchland, Mark, Jazayeri, Mehrdad, Miller, Lee E., Pillow, Jonathan, Park, Il Memming, Dyer, Eva L., Pandarinath, Chethan
Advances in neural recording present increasing opportunities to study neural activity in unprecedented detail. Latent variable models (LVMs) are promising tools for analyzing this rich activity across diverse neural systems and behaviors, as LVMs do
Externí odkaz:
http://arxiv.org/abs/2109.04463
Publikováno v:
In Current Opinion in Neurobiology June 2024 86
Publikováno v:
Nat Neurosci 25, 11-19 (2022)
Neuroscientists today can measure activity from more neurons than ever before, and are facing the challenge of connecting these brain-wide neural recordings to computation and behavior. Here, we first describe emerging tools and technologies being us
Externí odkaz:
http://arxiv.org/abs/2103.14662
Autor:
Couto, Joao, Musall, Simon, Sun, Xiaonan R, Khanal, Anup, Gluf, Steven, Saxena, Shreya, Kinsella, Ian, Abe, Taiga, Cunningham, John P., Paninski, Liam, Churchland, Anne K
Measurements of neuronal activity across brain areas are important for understanding the neural correlates of cognitive and motor processes like attention, decision-making, and action selection. However, techniques that allow cellular resolution meas
Externí odkaz:
http://arxiv.org/abs/2010.15191
Autor:
Anthony Zador, Sean Escola, Blake Richards, Bence Ölveczky, Yoshua Bengio, Kwabena Boahen, Matthew Botvinick, Dmitri Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad Körding, Alexei Koulakov, Yann LeCun, Timothy Lillicrap, Adam Marblestone, Bruno Olshausen, Alexandre Pouget, Cristina Savin, Terrence Sejnowski, Eero Simoncelli, Sara Solla, David Sussillo, Andreas S. Tolias, Doris Tsao
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-7 (2023)
Abstract Neuroscience has long been an essential driver of progress in artificial intelligence (AI). We propose that to accelerate progress in AI, we must invest in fundamental research in NeuroAI. A core component of this is the embodied Turing test
Externí odkaz:
https://doaj.org/article/f641a9b5999f446baa1b1e8548582333
With the increasing acquisition of large-scale neural recordings comes the challenge of inferring the computations they perform and understanding how these give rise to behavior. Here, we review emerging conceptual and technological advances that beg
Externí odkaz:
http://arxiv.org/abs/1906.09622