Sentence examples for neural circuit models from inspiring English sources

We build biophysically-based neural circuit models that span levels of scale and complexity, ranging from detailed microcircuitry supporting cognitive function, to large-scale brain dynamics.

Our wider strategic goal was to provide a proof of principle that it is possible to link human behavior via neural circuit models to specific synaptic signaling mechanisms.

In the neural circuit model, neural convergence is a critical network structure that leads to summation of more than two different signals to generate post-synaptic outputs, creating a computational module of neural information39,40,41,42.

We conclude that these bioengineered neural circuit model systems are reliable and scalable tools to accurately study aspects of human astrocyte-neuron functional properties while being easily accessible for cell-type-specific manipulations and observations.

Our findings suggest a three-stage neural circuit model of verbal humor processing: incongruity detection and incongruity resolution during humor comprehension and inducement of the feeling of amusement during humor elaboration.

Fig. 2 The encoding of temporal stimuli by a neural circuit modeling an ensemble of complex cells.

Our findings demonstrate a two-component neural circuit model of humor processing and a key region important in pleasurable feelings accompanied by humor.

A prevailing neural circuit model for olfactory discrimination and learning proposes that KCs serve as temporal coincidence detectors for odors paired with inherently meaningful or conditioned reinforcement [13], [46].

According to the neural circuit model for thermotaxis (Mori and Ohshima, 1995), temperature is sensed and remembered by AFD and AWC sensory neurons, thermal information from AFD and AWC is transmitted to AIY interneuron, and the subsequent information from AIY is transmitted to AIZ and RIA interneurons for further neural information processing.

Although a flip-flop neuronal circuit model has been proposed to control the transitions between sleep and wake (and a separate flip-flop switch for transitions between NREM and REM sleep) [10], modeling linking these neural circuits to the fine structure of sleep architecture is lacking.

Since then, scientists and engineers have been using these transistor-based neurons to build more-complicated neural circuits, modeling the retina, the cochlea (the part of the inner ear that translates sound waves into neural signals), and the hippocampus (a part of the brain crucial for memory).