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Memristor-coupled dual-neuron map** model: initials-induced coexisting firing patterns and synchronization activities
Synaptic plasticity makes memristors particularly suitable for simulating the connection synapses between neurons that describe magnetic induction...
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Population and individual firing behaviors in sparsely synchronized rhythms in the hippocampal dentate gyrus
We investigate population and individual firing behaviors in sparsely synchronized rhythms (SSRs) in a spiking neural network of the hippocampal...
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Adult neurogenesis in the hippocampal dentate gyrus affects sparsely synchronized rhythms, associated with pattern separation and integration
We are concerned about sparsely synchronized rhythms (SSRs), associated with diverse cognitive functions, in the hippocampal dentate gyrus....
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Multistability in neural systems with random cross-connections
Neural circuits with multiple discrete attractor states could support a variety of cognitive tasks according to both empirical data and model...
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Modeling the grid cell activity based on cognitive space transformation
The grid cells in the medial entorhinal cortex are widely recognized as a critical component of spatial cognition within the entorhinal-hippocampal...
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A spatial transformation-based CAN model for information integration within grid cell modules
The hippocampal-entorhinal circuit is considered to play an important role in the spatial cognition of animals. However, the mechanism of the...
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Disynaptic effect of hilar cells on pattern separation in a spiking neural network of hippocampal dentate gyrus
We study the disynaptic effect of the hilar cells on pattern separation in a spiking neural network of the hippocampal dentate gyrus (DG). The...
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Three-dimensional memristive Morris–Lecar model with magnetic induction effects and its FPGA implementation
To characterize the magnetic induction flow induced by neuron membrane potential, a three-dimensional (3D) memristive Morris–Lecar (ML) neuron model...
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The neuronal and synaptic dynamics underlying post-inhibitory rebound burst related to major depressive disorder in the lateral habenula neuron model
A burst behavior observed in the lateral habenula (LHb) neuron related to major depressive disorder has attracted much attention. The burst is...
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Non-additive activity modulation during a decision making task involving tactic selection
Human brain imaging has revealed that stimulus-induced activity does generally not simply add to the pre-stimulus activity, but rather builds in a...
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A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains
Negative correlations in the sequential evolution of interspike intervals (ISIs) are a signature of memory in neuronal spike-trains. They provide...
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Repeating Patterns in Spike Trains and Functional Groups of Neurons
In Chap. 5, Judith E. Dayhoff describes her joint work with her PhD advisor, George Gerstein, on designing and applying novel data analysis methods...
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Energy dependence of synchronization mode transitions in the delay-coupled FitzHugh-Nagumo system driven by chaotic activity
Energy absorption and consumption are essential for the activity of single neurons and neuronal networks. The synchronization mode transition and...
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Neural Communication II: Firing Rate and Information Encoding
Neural information is a frequency encoded in the rate of action potentials. Neuronal postsynaptic potentials determine the action potential firing...
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Flexible neural control of motor units
Voluntary movement requires communication from cortex to the spinal cord, where a dedicated pool of motor units (MUs) activates each muscle. The...
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Effects of chaotic activity and time delay on signal transmission in FitzHugh-Nagumo neuronal system
The influences of chaotic activity and time delay on the transmission of the sub-threshold signal (STS) in a single FitzHugh-Nagumo neuron and...
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Control and recalibration of path integration in place cells using optic flow
Hippocampal place cells are influenced by both self-motion (idiothetic) signals and external sensory landmarks as an animal navigates its...
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Introduction: How Should One Think About Nervous Systems?
This book deals with structures and activity patterns of neuronal networks. While trying to understand their dynamics, we unavoidably use knowledge...
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Modelling neural probabilistic computation using vector symbolic architectures
Distributed vector representations are a key bridging point between connectionist and symbolic representations in cognition. It is unclear how...
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Comprehensive Open-Source Petri Net Toolchain for Modeling and Simulation in Systems Biology
In systems biology, the process of modeling and the process of simulating the biological system of interest are essential. Implementing these...