The result shows that these types of hybrid neural network have a capability for flexible time-delay classification so as to extend the computational capability of BP neural network and provide a new type of classifying method. The proposed neural network can be generalized to other time-delay ...
The inferior colliculus (IC) is a large midbrain nucleus that integrates inputs from many auditory brainstem and cortical structures. Despite its prominent role in auditory processing, the various cell types and their connections within the IC are not well characterized. To further separate GABAergic...
As a promising new technique, low-intensity transcranial focused ultrasound (tFUS) can be utilized in many neuromodulation applications due to its high-spatial specificity (compared to TMS and TCS19) and its non-invasive nature20. During tFUS neuromodulation, pulsed mechanical energy is transmitted ...
It also catalyzes NEURON software development by offering users a modern programming tool that is recognized for its flexibility and power to create and maintain complex programs. At the same time, nothing is lost because all existing models written in Hoc, including GUI tools, continue to work ...
Neurodegenerative diseases and neurotraumatic injuries are typically age-associated disorders that can reduce neuron survival, neurite outgrowth, and synaptic plasticity leading to loss of cognitive capacity, executive function, and motor control. In pur
Positive feedback links allow the binding neurons of a pattern neuron ensemble to support each other, by feeding the activation value of the patten neuron back to its input binding-neurons. The AIKA network uses four different types of neurons: ...
Granule neurons have a central role in cerebellar function via their synaptic interactions with other neuronal cell types both within and outside this structure. Establishment of these synaptic connections and its control is therefore essential to their function. Both intrinsic as well as environmental ...
Correlated spiking has been widely observed, but its impact on neural coding remains controversial. Correlation arising from comodulation of rates across neurons has been shown to vary with the firing rates of individual neurons. This translates into rate and correlation being equivalently tuned to the...
This type of neuron model supports important properties like neural refractoriness, multiple-time-scale adaptation, stochastic spike generation and synaptic dynamics; its parameters can be directly extracted from experiments of real neurons. In particular, we use a mean-field and a quasi-renewal ...
In the previous chapter we identified the neuron as the presumed structural and functional unit in the organization of the nervous system, and the graded generator potentials and action potentials as its most characteristic signals. In this chapter we discuss in general and qualitative terms the dyna...