Complex temporal patterns processing by a neural mass model of a cortical column
D Malagarriga, AJ Pons, AEP Villa - Cognitive neurodynamics, 2019 - Springer
It is well known that neuronal networks are capable of transmitting complex spatiotemporal
information in the form of precise sequences of neuronal discharges characterized by …
information in the form of precise sequences of neuronal discharges characterized by …
Electrophysiological properties and projections of lateral hypothalamic parvalbumin positive neurons
A Kisner, JE Slocomb, S Sarsfield, ML Zuccoli… - PloS one, 2018 - journals.plos.org
Cracking the cytoarchitectural organization, activity patterns, and neurotransmitter nature of
genetically-distinct cell types in the lateral hypothalamus (LH) is fundamental to develop a …
genetically-distinct cell types in the lateral hypothalamus (LH) is fundamental to develop a …
The different effects of high-frequency stimulation of the nucleus accumbens shell and core on food consumption are possibly associated with different neural …
N Wei, Y Wang, X Wang, Z He, M Zhang, X Zhang… - Neuroscience, 2015 - Elsevier
Obesity may result from dysfunction of the reward system, especially in the nucleus
accumbens (Acb). Based on this hypothesis, many researchers have tested the effect of high …
accumbens (Acb). Based on this hypothesis, many researchers have tested the effect of high …
Attractor dynamics driven by interactivity in boolean recurrent neural networks
J Cabessa, AEP Villa - Artificial Neural Networks and Machine Learning …, 2016 - Springer
We study the attractor dynamics of a Boolean model of the basal ganglia-thalamocortical
network as a function of its interactive synaptic connections and global threshold. We show …
network as a function of its interactive synaptic connections and global threshold. We show …
Interactive control of computational power in a model of the basal ganglia-thalamocortical circuit by a supervised attractor-based learning procedure
J Cabessa, AEP Villa - Artificial Neural Networks and Machine Learning …, 2017 - Springer
The attractor-based complexity of a Boolean neural network refers to its ability to
discriminate among the possible input streams, by means of alternations between …
discriminate among the possible input streams, by means of alternations between …