Add to ORKGThis thesis is concerned with the problem of memory storage in a feedback neural network. A new learning approach has been developed that assigns variable thresholds to the neurons through an iterative process. This approach has been further applied to B-Matrix approach of memory retrieval. Experiments have also been conducted on non-binary neural networks and their storage capacity has been evaluated.Computer Science Departmen
The advent of reliable simultaneous recording of the activity of many neurons has enabled the study ...
A BCI or Brain Computer Interface is defined as a method of communication that converts neural activ...
The purpose of this interdisciplinary study was to examine the behavior of two artificial neural net...
In an effort to create computing structures that are as efficient as the brain at cognitive tasks, i...
The human brain is composed of millions of neurons, firing spikes according to their membrane potent...
This thesis is concerned with the problem of memory recall for the feedback neural network called th...
To elucidate the individual roles of the four Broad-Complex (BR-C) isoforms, Z1-Z4, on neuronal comp...
Multisensory processing in the brain underlies a wide variety of perceptual phenomena, but little is...
The Neural Virtual Machine (NVM) is a novel neurocomputational architecturedesigned to emulate the f...
Machine learning is a rapidly accelerating tool and technology used for countless applications in th...
The representation of 2 Satisfiability problem or 2SAT is increasingly viewed as a significant logic...
One of the central questions in neuroscience is how the nervous system generates and regulates behav...
In the iterative process of experimentally probing biological networks and computationally inferring...
Training a system of artificial neural networks on digital images is a big challenge. Often times di...
Sensory stimuli evoke spiking activities that are patterned across neurons and time in the early pro...
The advent of reliable simultaneous recording of the activity of many neurons has enabled the study ...
A BCI or Brain Computer Interface is defined as a method of communication that converts neural activ...
The purpose of this interdisciplinary study was to examine the behavior of two artificial neural net...
In an effort to create computing structures that are as efficient as the brain at cognitive tasks, i...
The human brain is composed of millions of neurons, firing spikes according to their membrane potent...
This thesis is concerned with the problem of memory recall for the feedback neural network called th...
To elucidate the individual roles of the four Broad-Complex (BR-C) isoforms, Z1-Z4, on neuronal comp...
Multisensory processing in the brain underlies a wide variety of perceptual phenomena, but little is...
The Neural Virtual Machine (NVM) is a novel neurocomputational architecturedesigned to emulate the f...
Machine learning is a rapidly accelerating tool and technology used for countless applications in th...
The representation of 2 Satisfiability problem or 2SAT is increasingly viewed as a significant logic...
One of the central questions in neuroscience is how the nervous system generates and regulates behav...
In the iterative process of experimentally probing biological networks and computationally inferring...
Training a system of artificial neural networks on digital images is a big challenge. Often times di...
Sensory stimuli evoke spiking activities that are patterned across neurons and time in the early pro...
The advent of reliable simultaneous recording of the activity of many neurons has enabled the study ...
A BCI or Brain Computer Interface is defined as a method of communication that converts neural activ...
The purpose of this interdisciplinary study was to examine the behavior of two artificial neural net...