HEBB'S THEORY OF LEARNING IN COGNITIVE NEUROSCIENCE

Donald Hebb who is the founder of theory of learning behavior from the perspective of cognitive neuroscience based on the cell assembly. Where he explained the occurrence of learning through the Hebb's synapse, which explained the mechanism of interaction and connection between synaptic cells, and the activity that occurs between them to produce learning and related thinking and memory. Also, how the induce that occurs between the cell assembly in the Hebb's synapse has a significant role to understand learning and associated skills, abilities and behavior. Therefore, this theory in the field of education and psychology was employed in the mechanism of long-term Potentiation (LTP) to interpret the occurrence of learning in terms of cognitive neuroscience. Keywords: Cognitive Neuroscience, Theory, Hebb, Learning, Teaching, Brain, Neuron

Current Promises and Limitations of Combined Virtual Reality and Functional Magnetic Resonance Imaging Research in Humans: A Commentary on Huffman and Ekstrom ()

Real-world navigation requires movement of the body through space, producing a continuous stream of visual and self-motion signals, including proprioceptive, vestibular, and motor efference cues. These multimodal cues are integrated to form a spatial cognitive map, an abstract, amodal representation of the environment. How the brain combines these disparate inputs and the relative importance of these inputs to cognitive map formation and recall are key unresolved questions in cognitive neuroscience. Recent advances in virtual reality technology allow participants to experience body-based cues when virtually navigating, and thus it is now possible to consider these issues in new detail. Here, we discuss a recent publication that addresses some of these issues (D. J. Huffman and A. D. Ekstrom. A modality-independent network underlies the retrieval of large-scale spatial environments in the human brain. Neuron, 104, 611–622, 2019). In doing so, we also review recent progress in the study of human spatial cognition and raise several questions that might be addressed in future studies.

It may be time to perfect the neuron of artificial neural network

In recent years, artificial neural networks (ANNs) have won numerous contests in pattern recognition, machine learning, and artificial intelligence. The basic unit of an ANN is to mimic neurons in the brain. Neuron in ANNs is expressed as f(wx+b) or f(wx).This structure does not consider the information processing capabilities of dendrites. However, recently, studies shown that dendrites participate in pre-calculation in the brain. Concretely, biological dendrites play a role in the pre-processing to the interaction information of input data. Therefore, it's time to perfect the neuron of the neural network. This paper added dendrite processing section, and presented a novel artificial neuron, according to our previous studies (CR-PNN or Gang transform). The dendrite processing section can be expressed as W ^i,i-1A^i-¹ ◦A^{0|1|2|...|i-1} . Because I perfected the basic unit of ANNs-neuron, there are so many networks to try, this article gives the basic architecture for reference in future research.

It may be time to perfect the neuron of artificial neural network

In recent years, artificial neural networks (ANNs) have won numerous contests in pattern recognition, machine learning, and artificial intelligence. The basic unit of an ANN is to mimic neurons in the brain. Neuron in ANNs is expressed as f(wx+b) or f(wx).This structure does not consider the information processing capabilities of dendrites. However, recently, studies shown that dendrites participate in pre-calculation in the brain. Concretely, biological dendrites play a role in the pre-processing to the interaction information of input data. Therefore, it's time to perfect the neuron of the neural network. This paper added dendrite processing section, and presented a novel artificial neuron, according to our previous studies (CR-PNN or Gang transform). The dendrite processing section can be expressed as WA.X. Because I perfected the basic unit of ANNs-neuron, there are so many networks to try, this article gives the basic architecture for reference in future research.

Developmental Disorders (DD) and Fibromyalgia (FM), we might be able to develop both treatments at once!?

In this paper, I explain following 3 topics: ①Development Disorders (DD), are one of physical disabilities ②study of pain (brain, neuron, and fibromyalgia (FM)) ③ DD and FM, we might be able to develop both treatments at once!?

The evidence for the influence of musical compositions during pregnancy to the structure and functions of the offsprings’ brain

Objective: to compile studies in Surabaya on the effect of Mozart compositions during pregnancy on the number of the offsprings brain neuron, glia, BDNF, apoptotic neurons and, neuronal dendritic density. These series of studies aimed to develop environmental-enrichment model during pregnancy so we can have better brain for the next generation. Better brain means better capacity in processing information, solving the problems, and creating new solutions that depends on the number of neuron, glia, ratio glia/ neuron and synapses. We do believe in the motto of “From Neurons to Nation” Overview: There were 38 studies, in animal models except two in human subjects, all of them with control, prospective, and randomized. The first group consist of analyze the frequency, sequence, time, duration, gestational age, distant, and intensity of Mozart composition. The second group: try to analyze the mechanism and compare with variety of other compositions including other western music(Chopin, Beethoven, Blues, Jazz, Rock) and Indonesian music(Gamelan Jawa, Sunda, Bali, Pop, Religious). The third group: combine with nutrition, reverse sequence, involving cerebrum and cerebellum, and right-left hemisphere. There were no growth restricted, dead, and malformed offsprings in both groups. The BDNF expression, synapsin I expression, the number of neuron, number of glia, and dendritic density of the exposed groups were higher than control. The neuronal apoptotic index were lower in the exposed groupsConclusions: Mozart compositions during pregnancy increased the BDNF, synapsin I, number of neuron, number of glia, dendritic density and, also decreased the neuronal apoptosis in offsprings’ brain