[图书][B] The organization of behavior: A neuropsychological theory
DO Hebb - 2005 - taylorfrancis.com
Since its publication in 1949, DO Hebb's, The Organization of Behavior has been one of the
most influential books in the fields of psychology and neuroscience. However, the original …
most influential books in the fields of psychology and neuroscience. However, the original …
Learning as a phenomenon occurring in a critical state
L de Arcangelis, HJ Herrmann - Proceedings of the …, 2010 - National Acad Sciences
Recent physiological measurements have provided clear evidence about scale-free
avalanche brain activity and EEG spectra, feeding the classical enigma of how such a …
avalanche brain activity and EEG spectra, feeding the classical enigma of how such a …
Flexibly photo-regulated brain-inspired functions in flexible neuromorphic transistors
As an attractive prototype for neuromorphic computing, the difficultly attained three-terminal
platforms have specific advantages in implementing the brain-inspired functions. Also, in …
platforms have specific advantages in implementing the brain-inspired functions. Also, in …
Adaptive learning by extremal dynamics and negative feedback
P Bak, DR Chialvo - Physical Review E, 2001 - APS
We describe a mechanism for biological learning and adaptation based on two simple
principles:(i) Neuronal activity propagates only through the network's strongest synaptic …
principles:(i) Neuronal activity propagates only through the network's strongest synaptic …
Long-term homeostatic properties complementary to Hebbian rules in CuPc-based multifunctional memristor
Most simulations of neuroplasticity in memristors, which are potentially used to develop
artificial synapses, are confined to the basic biological Hebbian rules. However, the simplex …
artificial synapses, are confined to the basic biological Hebbian rules. However, the simplex …
[PDF][PDF] Controllable multiple depression in a graphene oxide artificial synapse
DOI: 10.1002/aelm. 201600244 combination of different forms of potentiation and
depression generally. Actually, as to the variety of short-lived and long-lived processes in …
depression generally. Actually, as to the variety of short-lived and long-lived processes in …
Network inference using asynchronously updated kinetic Ising model
Network structures are reconstructed from dynamical data by respectively naive mean field
(nMF) and Thouless-Anderson-Palmer (TAP) approximations. TAP approximation adds …
(nMF) and Thouless-Anderson-Palmer (TAP) approximations. TAP approximation adds …
Dual logic and cerebral coordinates for reciprocal interaction in eye contact
RF Lee - PLoS One, 2015 - journals.plos.org
In order to scientifically study the human brain's response to face-to-face social interaction,
the scientific method itself needs to be reconsidered so that both quantitative observation …
the scientific method itself needs to be reconsidered so that both quantitative observation …
Combining Hebbian and reinforcement learning in a minibrain model
RJC Bosman, WA Van Leeuwen, B Wemmenhove - Neural Networks, 2004 - Elsevier
A toy model of a neural network in which both Hebbian learning and reinforcement learning
occur is studied. The problem of 'path interference', which makes that the neural net quickly …
occur is studied. The problem of 'path interference', which makes that the neural net quickly …
A reinforcement learning framework for spiking networks with dynamic synapses
K El-Laithy, M Bogdan - Computational Intelligence and …, 2011 - Wiley Online Library
An integration of both the Hebbian‐based and reinforcement learning (RL) rules is
presented for dynamic synapses. The proposed framework permits the Hebbian rule to …
presented for dynamic synapses. The proposed framework permits the Hebbian rule to …