A deep learning framework for neuroscience
Abstract Systems neuroscience seeks explanations for how the brain implements a wide
variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to …
variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to …
[HTML][HTML] Toward an integration of deep learning and neuroscience
AH Marblestone, G Wayne, KP Kording - Frontiers in computational …, 2016 - frontiersin.org
Neuroscience has focused on the detailed implementation of computation, studying neural
codes, dynamics and circuits. In machine learning, however, artificial neural networks tend …
codes, dynamics and circuits. In machine learning, however, artificial neural networks tend …
If deep learning is the answer, what is the question?
Neuroscience research is undergoing a minor revolution. Recent advances in machine
learning and artificial intelligence research have opened up new ways of thinking about …
learning and artificial intelligence research have opened up new ways of thinking about …
Deep neural networks in computational neuroscience
The goal of computational neuroscience is to find mechanistic explanations of how the
nervous system processes information to support cognitive function and behaviour. At the …
nervous system processes information to support cognitive function and behaviour. At the …
Neural networks and neuroscience-inspired computer vision
Brains are, at a fundamental level, biological computing machines. They transform a torrent
of complex and ambiguous sensory information into coherent thought and action, allowing …
of complex and ambiguous sensory information into coherent thought and action, allowing …
Artificial neural networks for neuroscientists: a primer
Artificial neural networks (ANNs) are essential tools in machine learning that have drawn
increasing attention in neuroscience. Besides offering powerful techniques for data analysis …
increasing attention in neuroscience. Besides offering powerful techniques for data analysis …
The brain's unique take on algorithms
JB Aimone, O Parekh - nature communications, 2023 - nature.com
Perspectives for understanding the brain vary across disciplines and this has challenged our
ability to describe the brain's functions. In this comment, we discuss how emerging …
ability to describe the brain's functions. In this comment, we discuss how emerging …
Designing neural networks through neuroevolution
Much of recent machine learning has focused on deep learning, in which neural network
weights are trained through variants of stochastic gradient descent. An alternative approach …
weights are trained through variants of stochastic gradient descent. An alternative approach …
Deep learning for cognitive neuroscience
KR Storrs, N Kriegeskorte - arXiv preprint arXiv:1903.01458, 2019 - arxiv.org
Neural network models can now recognise images, understand text, translate languages,
and play many human games at human or superhuman levels. These systems are highly …
and play many human games at human or superhuman levels. These systems are highly …
[HTML][HTML] Neuroscience-inspired artificial intelligence
The fields of neuroscience and artificial intelligence (AI) have a long and intertwined history.
In more recent times, however, communication and collaboration between the two fields has …
In more recent times, however, communication and collaboration between the two fields has …