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Attractor and integrator networks in the brain
In this Review, we describe the singular success of attractor neural network models in
describing how the brain maintains persistent activity states for working memory, corrects …
describing how the brain maintains persistent activity states for working memory, corrects …
Computational role of structure in neural activity and connectivity
One major challenge of neuroscience is identifying structure in seemingly disorganized
neural activity. Different types of structure have different computational implications that can …
neural activity. Different types of structure have different computational implications that can …
[كتاب][B] Neuronal dynamics: From single neurons to networks and models of cognition
W Gerstner, WM Kistler, R Naud, L Paninski - 2014 - books.google.com
What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …
signal? What is the neural code? This textbook for advanced undergraduate and beginning …
[كتاب][B] Machine learning with neural networks: an introduction for scientists and engineers
B Mehlig - 2021 - books.google.com
This modern and self-contained book offers a clear and accessible introduction to the
important topic of machine learning with neural networks. In addition to describing the …
important topic of machine learning with neural networks. In addition to describing the …
[كتاب][B] Introduction to the theory of neural computation
JA Hertz - 2018 - taylorfrancis.com
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 1 Page 2
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …
INTRODUCTION TO THE THEORY OF NEURAL COMPUTATION Page 3 Page 4 …
[كتاب][B] Artificial neural networks
B Yegnanarayana - 2009 - books.google.com
Designed as an introductory level textbook on Artificial Neural Networks at the postgraduate
and senior undergraduate levels in any branch of engineering, this self-contained and well …
and senior undergraduate levels in any branch of engineering, this self-contained and well …
Exponential capacity of dense associative memories
C Lucibello, M Mézard - Physical Review Letters, 2024 - APS
Recent generalizations of the Hopfield model of associative memories are able to store a
number P of random patterns that grows exponentially with the number N of neurons, P= exp …
number P of random patterns that grows exponentially with the number N of neurons, P= exp …
Resolving new memories: a critical look at the dentate gyrus, adult neurogenesis, and pattern separation
Recently, investigation of new neurons in memory formation has focused on a specific
function—pattern separation. However, it has been difficult to reconcile the form of …
function—pattern separation. However, it has been difficult to reconcile the form of …
The space of interactions in neural network models
E Gardner - Journal of physics A: Mathematical and general, 1988 - iopscience.iop.org
The typical fraction of the space of interactions between each pair of N Ising spins which
solve the problem of storing a given set of p random patterns as N-bit spin configurations is …
solve the problem of storing a given set of p random patterns as N-bit spin configurations is …
[كتاب][B] Artificial neural systems: foundations, paradigms, applications, and implementations
PK Simpson - 1991 - dl.acm.org
Artificial neural systems | Guide books skip to main content ACM Digital Library home ACM
Association for Computing Machinery corporate logo Google, Inc. (search) Advanced Search …
Association for Computing Machinery corporate logo Google, Inc. (search) Advanced Search …