PROJECT TITLE :

How the Brain Formulates Memory: A Spatio-Temporal Model Research Frontier

ABSTRACT:

Memory could be a advanced method across totally different brain regions and a elementary function for several cognitive behaviors. Rising experimental results counsel that reminiscences are represented by populations of neurons and arranged in an exceedingly categorical and hierarchical manner. But, it's still not clear how the neural mechanisms are emulated in computational models. During this paper, we tend to gift a spatio-temporal memory (STM) model using spiking neurons to explore the memory formulation and organization in the brain. Unlike previous approaches, this model employs temporal population codes because the neural representation of data and spiketiming-based learning strategies to formulate the memory structure. It explicitly demonstrates that the advanced spatio-temporal patterns are the internal neural representations of memory items. Two types of memory processes are analyzed and emulated: associative memory, i.e., spatio-temporal patterns driven by intra-assembly connections, and episodic memory, i.e., temporally separated spatio-temporal patterns linked by inter-assembly connections. Our model can give a computational substrate based on lowlevel neural circuits for developing neuromorphic cognitive systems with wide applications.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images Techniques and Clinical Applications ABSTRACT: Multiple sclerosis (MS) is a chronic inflammatory and degenerative disease of the central nervous
PROJECT TITLE : Leveraging Deep Learning Techniques to Improve P300-Based Brain Computer Interfaces ABSTRACT: The Brain-Computer Interface, or BCI, is a technology that has matured to the point where it can successfully connect
PROJECT TITLE : Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors ABSTRACT: Accurate diagnosis require high-resolution Magnetic Resonance images (MR). Factors such as hardware and processing limitations limit
PROJECT TITLE : Robust Empirical Bayesian Reconstruction of Distributed Sources for Electromagnetic Brain Imaging ABSTRACT: Electromagnetic brain imaging uses non-invasive recordings of magnetic fields and electric potentials
PROJECT TITLE :Cell Membrane Tracking in Living Brain Tissue Using Differential Interference Contrast Microscopy - 2018ABSTRACT:Differential interference distinction (DIC) microscopy is widely used for observing unstained biological

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry