AIMC Topic: Neurons

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Statistical complexity is maximized in a small-world brain.

PloS one Aug 29, 2017
In this paper, we study a network of Izhikevich neurons to explore what it means for a brain to be at the edge of chaos. To do so, we first constructed the phase diagram of a single Izhikevich excitatory neuron, and identified a small region of the p...
Neurons Brain Neural Networks, Computer Nerve Net Algorithms Computer Simulation Models, Neurological
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Leg-local neural mechanisms for searching and learning enhance robotic locomotion.

Biological cybernetics Aug 7, 2017
Adapting motor output based on environmental forces is critical for successful locomotion in the real world. Arthropods use at least two neural mechanisms to adjust muscle activation while walking based on detected forces. Mechanism 1 uses negative f...
Feedback, Sensory Central Pattern Generators Hindlimb Locomotion Neural Pathways Learning Biomechanical Phenomena Animals Models, Neurological Robotics Neurons
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Memory States and Transitions between Them in Attractor Neural Networks.

Neural computation Aug 4, 2017
Human memory is capable of retrieving similar memories to a just retrieved one. This associative ability is at the base of our everyday processing of information. Current models of memory have not been able to underpin the mechanism that the brain co...
Humans Neurons Memory Neural Networks, Computer Association Brain Models, Neurological
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Information reduction in a reverberatory neuronal network through convergence to complex oscillatory firing patterns.

Bio Systems Jul 27, 2017
Dynamics of a reverberating neural net is studied by means of computer simulation. The net, which is composed of 9 leaky integrate-and-fire (LIF) neurons arranged in a square lattice, is fully connected with interneuronal communication delay proporti...
Computer Simulation Models, Neurological Action Potentials Humans Neural Networks, Computer Neurons Nerve Net
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A multivariate extension of mutual information for growing neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 24, 2017
Recordings of neural network activity in vitro are increasingly being used to assess the development of neural network activity and the effects of drugs, chemicals and disease states on neural network function. The high-content nature of the data der...
Patch-Clamp Techniques Neural Networks, Computer Action Potentials Neurons Microarray Analysis Microelectrodes
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Efficiency of rate and latency coding with respect to metabolic cost and time.

Bio Systems Jul 3, 2017
Recent studies on the theoretical performance of latency and rate code in single neurons have revealed that the ultimate accuracy is affected in a nontrivial way by aspects such as the level of spontaneous activity of presynaptic neurons, amount of n...
Neural Networks, Computer Computer Simulation Time Factors Humans Energy Metabolism Computational Biology Nerve Net Models, Neurological Membrane Potentials Neurons
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Decision-making neural circuits mediating social behaviors : An attractor network model.

Journal of computational neuroscience Jun 29, 2017
We propose a mathematical model of a continuous attractor network that controls social behaviors. The model is examined with bifurcation analysis and computer simulations. The results show that the model exhibits stable steady states and thresholds f...
Animals Male Models, Theoretical Models, Neurological Decision Making Neurons Humans Neural Networks, Computer Computer Simulation Nonlinear Dynamics Social Behavior Synapses Nerve Net
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A robot for high yield electrophysiology and morphology of single neurons in vivo.

Nature communications Jun 1, 2017
Single-cell characterization and perturbation of neurons provides knowledge critical to addressing fundamental neuroscience questions including the structure-function relationship and neuronal cell-type classification. Here we report a robot for effi...
Electrophysiological Phenomena Models, Animal Microelectrodes Electroporation Robotics Equipment Design Neurons Female Animals Male Software Brain Single-Cell Analysis Mice Mice, Inbred C57BL
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Familiarity Detection is an Intrinsic Property of Cortical Microcircuits with Bidirectional Synaptic Plasticity.

eNeuro May 22, 2017
Humans instantly recognize a previously seen face as "familiar." To deepen our understanding of familiarity-novelty detection, we simulated biologically plausible neural network models of generic cortical microcircuits consisting of spiking neurons w...
Humans Neural Networks, Computer Neuronal Plasticity Facial Recognition Receptors, N-Methyl-D-Aspartate Computer Simulation Recognition, Psychology Action Potentials Cerebral Cortex Learning Unsupervised Machine Learning Neural Pathways Discriminant Analysis Neurons Calcium
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Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition.

IEEE transactions on biomedical circuits and systems May 19, 2017
We present a hardware architecture that uses the neural engineering framework (NEF) to implement large-scale neural networks on field programmable gate arrays (FPGAs) for performing massively parallel real-time pattern recognition. NEF is a framework...
Databases, Factual Neurons Pattern Recognition, Automated Neural Networks, Computer
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