AIMC Topic:
Neurons

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Emergence of low noise frustrated states in E/I balanced neural networks.

Neural networks : the official journal of the International Neural Network Society Sep 8, 2016
We study emerging phenomena in binary neural networks where, with a probability c synaptic intensities are chosen according with a Hebbian prescription, and with probability (1-c) there is an extra random contribution to synaptic weights. This new te...
Memory Synapses Random Allocation Monte Carlo Method Nerve Net Cerebral Cortex Noise Neurons Probability Neural Networks, Computer Animals
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Driving reservoir models with oscillations: a solution to the extreme structural sensitivity of chaotic networks.

Journal of computational neuroscience Sep 2, 2016
A large body of experimental and theoretical work on neural coding suggests that the information stored in brain circuits is represented by time-varying patterns of neural activity. Reservoir computing, where the activity of a recurrently connected p...
Neural Networks, Computer Neurons Brain Nonlinear Dynamics Computer Simulation Synapses Humans Models, Neurological Animals Action Potentials
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Curiosity Search: Producing Generalists by Encouraging Individuals to Continually Explore and Acquire Skills throughout Their Lifetime.

PloS one Sep 2, 2016
Natural animals are renowned for their ability to acquire a diverse and general skill set over the course of their lifetime. However, research in artificial intelligence has yet to produce agents that acquire all or even most of the available skills ...
Nerve Net Algorithms Humans Learning Exploratory Behavior Artificial Intelligence Neurons
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A Cross-Correlated Delay Shift Supervised Learning Method for Spiking Neurons with Application to Interictal Spike Detection in Epilepsy.

International journal of neural systems Sep 1, 2016
This study introduces a novel learning algorithm for spiking neurons, called CCDS, which is able to learn and reproduce arbitrary spike patterns in a supervised fashion allowing the processing of spatiotemporal information encoded in the precise timi...
Action Potentials Epilepsy Supervised Machine Learning Neural Networks, Computer Time Factors Cerebral Cortex Wavelet Analysis Neural Inhibition Neurons Synapses Humans
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Coexistence and local μ-stability of multiple equilibrium points for memristive neural networks with nonmonotonic piecewise linear activation functions and unbounded time-varying delays.

Neural networks : the official journal of the International Neural Network Society Aug 31, 2016
In this paper, the coexistence and dynamical behaviors of multiple equilibrium points are discussed for a class of memristive neural networks (MNNs) with unbounded time-varying delays and nonmonotonic piecewise linear activation functions. By means o...
Neurons Linear Models Computer Simulation Time Factors Neural Networks, Computer Algorithms
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The effect of the neural activity on topological properties of growing neural networks.

Journal of integrative neuroscience Aug 10, 2016
The connectivity structure in cortical networks defines how information is transmitted and processed, and it is a source of the complex spatiotemporal patterns of network's development, and the process of creation and deletion of connections is conti...
Animals Neurons Synaptic Transmission Neural Networks, Computer Neural Pathways
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Stability analysis of switched cellular neural networks: A mode-dependent average dwell time approach.

Neural networks : the official journal of the International Neural Network Society Jul 26, 2016
This paper addresses the exponential stability of switched cellular neural networks by using the mode-dependent average dwell time (MDADT) approach. This method is quite different from the traditional average dwell time (ADT) method in permitting eac...
Neurons Neural Networks, Computer Algorithms Computer Simulation
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Global oscillation regime change by gated inhibition.

Neural networks : the official journal of the International Neural Network Society Jul 18, 2016
The role of sensory inputs in the modelling of synchrony regimes is exhibited by means of networks of spiking cells where the relative strength of the inhibitory interaction is controlled by the activation of a linear unit working as a gating variabl...
Action Potentials Neurons Neural Inhibition Biological Clocks Attention Neural Networks, Computer Animals
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Non-reward neural mechanisms in the orbitofrontal cortex.

Cortex; a journal devoted to the study of the nervous system and behavior Jul 15, 2016
Single neurons in the primate orbitofrontal cortex respond when an expected reward is not obtained, and behaviour must change. The human lateral orbitofrontal cortex is activated when non-reward, or loss occurs. The neuronal computation of this negat...
Neurons Reward Action Potentials Humans Nerve Net Neural Networks, Computer Prefrontal Cortex Computer Simulation Emotions
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Audiovisual integration in hemianopia: A neurocomputational account based on cortico-collicular interaction.

Neuropsychologia Jul 15, 2016
Hemianopic patients retain some abilities to integrate audiovisual stimuli in the blind hemifield, showing both modulation of visual perception by auditory stimuli and modulation of auditory perception by visual stimuli. Indeed, conscious detection o...
Synapses Hemianopsia Neural Networks, Computer Cerebral Cortex Superior Colliculi Neural Pathways Humans Computer Simulation Visual Perception Models, Neurological Neurons Auditory Perception
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