Results 261 to 270 of about 2,658,546 (298)

Restoring Synaptic Balance in Schizophrenia: Insights From a Thalamo-Cortical Conductance-Based Model. [PDF]

Schizophr Bull
Berndt LCS, Singh KD, Shaw AD.
europepmc   +1 more source

Ginsenosides in the management of depression: a comprehensive pharmacological review. [PDF]

Chin Med
Ren M, Tao X, Chang H, Bi HC, Lee SM, Wan JB.   +5 more
europepmc   +1 more source

Computational mechanisms for temporal integration in the anterior claustrum. [PDF]

Elife
Sohn K, Yoon D, Lee J, Choi S.
europepmc   +1 more source

From urge to action: an integrative neuropsychological model of tic generation in Tourette syndrome. [PDF]

Front Psychiatry
Zamboni L, Federico A, Casari R, Campagnari S, Bertoldi A, Righetti F, Masin S, Pavan R, Resina M, Lugoboni F.   +9 more
europepmc   +1 more source

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Spiking neural P systems with lateral inhibition

Neural Networks, 2023
As a member of the third generation of artificial neural network models, spiking neural P systems (SN P systems) have gained a hot research spot in recent years. This work introduces the phenomenon of lateral inhibition in biological nervous systems into SN P systems, and proposes SN P systems with lateral inhibition (LISN P systems).
Yuzhen Zhao, Yuping Liu
exaly   +5 more sources

Stat3 inhibition in neural lineage cells

hmbci, 2012
Abstract Deregulation of signal transducer and activator of transcription 3 (Stat3) is attracting attentions in neurological disorders of elderly populations, e.g., Stat3 is inactivated in hippocampal neurons of Alzheimer’s disease (AD) brains, whereas it is often constitutively activated in glioblastoma multiforme (GBM), correlating ...
Tomohiro, Chiba, Laura, Mack, Natalia, Delis, Boris, Brill, Bernd, Groner   +4 more
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Learning in competitively inhibited neural nets

1990 IJCNN International Joint Conference on Neural Networks, 1990
The competitively inhibited neural network (CINN) is a competitive learning paradigm which is modeled by a collection of ordinary differential equations. A sliding threshold condition has been derived for determining the activity of a CINN neuron. This condition allows the development of a mathematical model for CINN learning.
Michael Lemmon 0001, B. V. K. Vijaya Kumar   +1 more
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Sparse Coding and Neural Inhibition

2013
exaly   +2 more sources

A model of a neural network with recurrent inhibition

Kybernetik, 1974
A model of a neural network with recurrent inhibition has been studied. The model is intended as a possible description of the cerebral cortex, although this interpretation is not necessary. Using the corresponding neuroanatomical concepts, it can be described in the following way. The network consists of pyramidal cells and stellate cells.
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The Neural Basis of Inhibition in Cognitive Control

The Neuroscientist, 2007
The concept of “inhibition” is widely used in synaptic, circuit, and systems neuroscience, where it has a clear meaning because it is clearly observable. The concept is also ubiquitous in psychology. One common use is to connote an active/willed process underlying cognitive control.
openaire   +2 more sources