I am currently a PhD student at Cinvestav Guadalajara Unit. In 2019 I joined the group of Distributed and Multiagent Systems in the area of cognitive architectures working on an associative Learning model.
My subjects of interest are in the area of morphological circuits, analog design, embedded systems, distributed systems, computational neuroscience and programming
Design of an associative learning model based on biological evidence
Cuayöllötl intends to integrate different human cognitive functions into a distributed computational system based on neurosciences and psychology. These cognitive functions interact with each other, to give way to the process of the human mind. Among the cognitive functions that make up Cuayöllötl is associative learning. Learning and memory are two concepts that are strongly linked. The human learning process, uses the memory system that allows you to store and retrieve the information learned, in that process humans modify their behavior, this is the principle of adaptation to the environment.
In order to allow virtual creatures to exhibit more credible behaviors, it is necessary to provide virtual creatures with the ability to store information about the relationship between a stimulus and a response, this through associative learning located in non-declarative memory .
This ability will allow these creatures to have a learning according to the information they receive.
Academic training
* Bachelor of Electronics (2015) - Benemérita Universidad Autónoma de Puebla (BUAP).
* Master of science in Electrical Engineering (2018) - Center for Research and Advanced Studies of the IPN (CINVESTAV), Guadalajara Unit.
Specialty: Electronic Design
With the research topic on Modulation Using Sigma-Delta Approach and SIMSIDES Simulation - CMOS Synthesis.
* Currently, PhD student of science in Electrical Engineering (2018) - Center for Research and Advanced Studies of the IPN (CINVESTAV) Guadalajara Unit.
Specialty: Computer Science
Developing the topic of research on associative learning.