AIMC Topic: Electrophysiological Phenomena

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Modeling the motor cortex: Optimality, recurrent neural networks, and spatial dynamics.

Neuroscience research
Specialization of motor function in the frontal lobe was first discovered in the seminal experiments by Fritsch and Hitzig and subsequently by Ferrier in the 19th century. It is, however, ironical that the functional and computational role of the mot...

Context-dependent coding and gain control in the auditory system of crickets.

The European journal of neuroscience
Sensory systems process stimuli that greatly vary in intensity and complexity. To maintain efficient information transmission, neural systems need to adjust their properties to these different sensory contexts, yielding adaptive or stimulus-dependent...

A neural network that finds a naturalistic solution for the production of muscle activity.

Nature neuroscience
It remains an open question how neural responses in motor cortex relate to movement. We explored the hypothesis that motor cortex reflects dynamics appropriate for generating temporally patterned outgoing commands. To formalize this hypothesis, we tr...

Granger causality-based synaptic weights estimation for analyzing neuronal networks.

Journal of computational neuroscience
Granger causality (GC) analysis has emerged as a powerful analytical method for estimating the causal relationship among various types of neural activity data. However, two problems remain not very clear and further researches are needed: (1) The GC ...

Computational Neuroethology: A Call to Action.

Neuron
The brain is worthy of study because it is in charge of behavior. A flurry of recent technical advances in measuring and quantifying naturalistic behaviors provide an important opportunity for advancing brain science. However, the problem of understa...

Behavior, Electrophysiology, and Robotics Experiments to Study Lateral Line Sensing in Fishes.

Integrative and comparative biology
The lateral line system is a sensory system unique to fishes and amphibians. It is composed of distributed mechanosensory hair cell organs on the head and body (neuromasts), which are sensitive to pressure gradients and water movements. Over the last...

A Lognormal Recurrent Network Model for Burst Generation during Hippocampal Sharp Waves.

The Journal of neuroscience : the official journal of the Society for Neuroscience
The strength of cortical synapses distributes lognormally, with a long tail of strong synapses. Various properties of neuronal activity, such as the average firing rates of neurons, the rate and magnitude of spike bursts, the magnitude of population ...