A deep learning framework for neuroscience

BA Richards, TP Lillicrap, P Beaudoin, Y Bengio… - … neuroscience, 2019 - nature.com
machine learning to solve problems in the AI Set and numerous Brain Sets, it will be fruitful
to guide the top-down framework of systems neuroscience research with machine learning

If deep learning is the answer, what is the question?

A Saxe, S Nelli, C Summerfield - Nature Reviews Neuroscience, 2021 - nature.com
neuroscience research in the age of deep learning. We discuss the conceptual and
methodological challenges of comparing behaviour, learning … have emerged for neuroscience as …

Deep learning for cognitive neuroscience

KR Storrs, N Kriegeskorte - arXiv preprint arXiv:1903.01458, 2019 - arxiv.org
neuroscientists can use deep learning in their work, from inspiring theories to serving as full
computational models. Ongoing advances in deep learning … core of cognitive neuroscience. …

From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction

H Tanaka, A Nayebi… - Advances in neural …, 2019 - proceedings.neurips.cc
… We build on ideas from interpretable machine learning, notably methods of input attribution
that can decompose a neural response into a sum of contributions either from individual …

[PDF][PDF] Deep learning needs a prefrontal cortex

J Russin, RC O'Reilly, Y Bengio - Work Bridging AI Cogn …, 2020 - baicsworkshop.github.io
… in PFC, with the goal of enhancing the synergy between neuroscience and machine learning.
… various functions, with an eye toward principles that may be transferable to deep learning. …

Deep learning tools for the measurement of animal behavior in neuroscience

MW Mathis, A Mathis - Current opinion in neurobiology, 2020 - Elsevier
… However, there are no animal-specific toolboxes geared towards neuroscience applications,
although we believe that this will change in the near future, as for many applications having …

Deep learning and neurology: a systematic review

AAA Valliani, D Ranti, EK Oermann - Neurology and therapy, 2019 - Springer
… literature on the application of deep learning to the clinical neurosciences. We used search
… and challenges inherent in the deep learning approaches adopted towards these tasks, as …

Deep learning and the global workspace theory

R VanRullen, R Kanai - Trends in Neurosciences, 2021 - cell.com
towards achieving this goal, and highlight important issues and predictions for neuroscience
… optimize functionality while remaining truthful to neuroscience findings. As in any theoretical …

Deep neural network models of sensory systems: windows onto the role of task constraints

AJE Kell, JH McDermott - Current opinion in neurobiology, 2019 - Elsevier
… Here we review applications of deep learning to sensory neuroscience, discussing potential
limitations and future directions. We highlight the potential uses of deep neural networks to …

A database and deep learning toolbox for noise-optimized, generalized spike inference from calcium imaging

P Rupprecht, S Carta, A Hoffmann, M Echizen… - … Neuroscience, 2021 - nature.com
… a deep convolutional network Several favorable properties make supervised deep learning
… First, deep learning generally tends to outperform other classification or regression methods …