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The N400 in silico: A review of computational models
The N400 event-related brain potential is elicited by each word in a sentence and offers an
important window into the mechanisms of real-time language comprehension. Since the …
important window into the mechanisms of real-time language comprehension. Since the …
Bidirectional coupling between astrocytes and neurons mediates learning and dynamic coordination in the brain: a multiple modeling approach
In recent years research suggests that astrocyte networks, in addition to nutrient and waste
processing functions, regulate both structural and synaptic plasticity. To understand the …
processing functions, regulate both structural and synaptic plasticity. To understand the …
Neurons with multiplicative interactions of nonlinear synapses
Neurons are the fundamental units of the brain and nervous system. Develo** a good
modeling of human neurons is very important not only to neurobiology but also to computer …
modeling of human neurons is very important not only to neurobiology but also to computer …
Modeling the N400 ERP component as transient semantic over-activation within a neural network model of word comprehension
The study of the N400 event-related brain potential has provided fundamental insights into
the nature of real-time comprehension processes, and its amplitude is modulated by a wide …
the nature of real-time comprehension processes, and its amplitude is modulated by a wide …
Self-repair in a bidirectionally coupled astrocyte-neuron (AN) system based on retrograde signaling
In this paper we demonstrate that retrograde signaling via astrocytes may underpin self-
repair in the brain. Faults manifest themselves in silent or near silent neurons caused by low …
repair in the brain. Faults manifest themselves in silent or near silent neurons caused by low …
PSPs and ERPs: Applying the dynamics of post-synaptic potentials to individual units in simulation of temporally extended Event-Related Potential reading data
Abstract The Parallel Distributed Processing (PDP) framework is built on neural-style
computation, and is thus well-suited for simulating the neural implementation of cognition …
computation, and is thus well-suited for simulating the neural implementation of cognition …
Deep and modular neural networks
K Chen - Springer handbook of computational intelligence, 2015 - Springer
In this chapter, we focus on two important areas in neural computation, ie, deep and modular
neural networks, given the fact that both deep and modular neural networks are among the …
neural networks, given the fact that both deep and modular neural networks are among the …
Computational analyses in cognitive neuroscience: In defense of biological implausibility
IE Dror, DP Gallogly - Psychonomic Bulletin & Review, 1999 - Springer
Because cognitive neuroscience researchers attempt to understand the human mind by
bridging behavior and brain, they expect computational analyses to be biologically …
bridging behavior and brain, they expect computational analyses to be biologically …
Condition monitoring of the cutting process using a self-organizing spiking neural network map
RG Silva - Journal of Intelligent Manufacturing, 2010 - Springer
This paper presents a new approach to sensor based condition monitoring using a self-
organizing spiking neuron network map. Experimental evidence suggests that biological …
organizing spiking neuron network map. Experimental evidence suggests that biological …
Magnetoencephalographic evidence of the interhemispheric asymmetry in echoic memory lifetime and its dependence on handedness and gender
The echoic memory trace (EMT) refers to neuronal activity associated with the short-term
retention of stimulus-related information, especially within the primary and association …
retention of stimulus-related information, especially within the primary and association …