AIMC Topic: Models, Neurological

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Expanding the role of striatal cholinergic interneurons and the midbrain dopamine system in appetitive instrumental conditioning.

Journal of neurophysiology Oct 14, 2015
The basal ganglia are a collection of subcortical nuclei thought to underlie a wide variety of vertebrate behavior. Although a great deal is known about the functional and physiological properties of the basal ganglia, relatively few models have been...
Extinction, Psychological Basal Ganglia Appetitive Behavior Conditioning, Operant Cholinergic Neurons Models, Neurological Dopamine Corpus Striatum Humans Neural Networks, Computer Animals
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A semi-supervised Support Vector Machine model for predicting the language outcomes following cochlear implantation based on pre-implant brain fMRI imaging.

Brain and behavior Oct 12, 2015
INTRODUCTION: We developed a machine learning model to predict whether or not a cochlear implant (CI) candidate will develop effective language skills within 2 years after the CI surgery by using the pre-implant brain fMRI data from the candidate.
Hearing Loss, Sensorineural Child, Preschool Language Tests ROC Curve Treatment Outcome Area Under Curve Image Interpretation, Computer-Assisted Support Vector Machine Humans Cochlear Implantation Language Magnetic Resonance Imaging Brain Female Models, Neurological Prognosis Male Hypnotics and Sedatives Infant
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Enhancement of Spike-Timing-Dependent Plasticity in Spiking Neural Systems with Noise.

International journal of neural systems Oct 9, 2015
Synaptic plasticity is widely recognized to support adaptable information processing in the brain. Spike-timing-dependent plasticity, one subtype of plasticity, can lead to synchronous spike propagation with temporal spiking coding information. Recen...
Models, Neurological Action Potentials Neurons Cerebral Cortex Stochastic Processes Humans Neural Networks, Computer Animals Neuronal Plasticity
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Firing rate dynamics in recurrent spiking neural networks with intrinsic and network heterogeneity.

Journal of computational neuroscience Oct 9, 2015
Heterogeneity of neural attributes has recently gained a lot of attention and is increasing recognized as a crucial feature in neural processing. Despite its importance, this physiological feature has traditionally been neglected in theoretical studi...
Nerve Net Stochastic Processes Action Potentials Cerebral Cortex Monte Carlo Method Humans Neural Networks, Computer Computer Simulation Animals Mice Models, Neurological
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The transfer and transformation of collective network information in gene-matched networks.

Scientific reports Oct 9, 2015
Networks, such as the human society network, social and professional networks, and biological system networks, contain vast amounts of information. Information signals in networks are distributed over nodes and transmitted through intricately wired l...
Humans Neural Networks, Computer Signal Transduction Models, Neurological Neurons Algorithms Nerve Net Gene Regulatory Networks Models, Genetic
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Real-Time Simulation of Passage-of-Time Encoding in Cerebellum Using a Scalable FPGA-Based System.

IEEE transactions on biomedical circuits and systems Oct 6, 2015
The cerebellum plays a critical role for sensorimotor control and learning. However, dysmetria or delays in movements' onsets consequent to damages in cerebellum cannot be cured completely at the moment. Neuroprosthesis is an emerging technology that...
Humans Neural Networks, Computer Electronics, Medical Neural Prostheses Animals Time Factors Models, Neurological Cerebellum
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A minimum attention control law for ball catching.

Bioinspiration & biomimetics Oct 6, 2015
Digital implementations of control laws typically involve discretization with respect to both time and space, and a control law that can achieve a task at coarser levels of discretization can be said to require less control attention, and also reduce...
Algorithms Computer Simulation Computer-Aided Design Models, Neurological Humans Athletic Performance Baseball Feedback, Physiological Motion Perception Robotics Attention Biomimetics Arm
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Spiking Neural Network With Distributed Plasticity Reproduces Cerebellar Learning in Eye Blink Conditioning Paradigms.

IEEE transactions on bio-medical engineering Oct 1, 2015
GOAL: In this study, we defined a realistic cerebellar model through the use of artificial spiking neural networks, testing it in computational simulations that reproduce associative motor tasks in multiple sessions of acquisition and extinction.
Cerebellum Blinking Humans Neural Networks, Computer Algorithms Computer Simulation Neuronal Plasticity Models, Neurological Action Potentials
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Implicit Value Updating Explains Transitive Inference Performance: The Betasort Model.

PLoS computational biology Sep 25, 2015
Transitive inference (the ability to infer that B > D given that B > C and C > D) is a widespread characteristic of serial learning, observed in dozens of species. Despite these robust behavioral effects, reinforcement learning models reliant on rewa...
Reward Macaca mulatta Humans Machine Learning Algorithms Male Learning Computational Biology Animals Models, Neurological Models, Statistical
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Impact of sub and supra-threshold adaptation currents in networks of spiking neurons.

Journal of computational neuroscience Sep 24, 2015
Neuronal adaptation is the intrinsic capacity of the brain to change, by various mechanisms, its dynamical responses as a function of the context. Such a phenomena, widely observed in vivo and in vitro, is known to be crucial in homeostatic regulatio...
Action Potentials Nerve Tissue Proteins Neurons Nonlinear Dynamics Synapses Calcium Channels Cerebral Cortex Neural Networks, Computer Computer Simulation Animals Models, Neurological Humans Nerve Net Adaptation, Physiological Potassium Channels, Voltage-Gated
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