WEBCA: Weakly-Electric-Fish Bioinspired Cognitive Architecture
Amit Kumar Mishra

TL;DR
This paper introduces WEBCA, a bioinspired cognitive architecture modeled after weakly electric fish, aiming to advance cognitive robotics and enhance understanding of neural processing in simpler species.
Contribution
It presents a novel neural-inspired cognitive architecture based on weakly electric fish, facilitating research in robotics and neuroscience.
Findings
Provides a new bioinspired neural architecture
Demonstrates potential for improved robotic cognition
Offers insights into simple neural processing
Abstract
Neuroethology has been an active field of study for more than a century now. Out of some of the most interesting species that has been studied so far, weakly electric fish is a fascinating one. It performs communication, echo-location and inter-species detection efficiently with an interesting configuration of sensors, neu-rons and a simple brain. In this paper we propose a cognitive architecture inspired by the way these fishes handle and process information. We believe that it is eas-ier to understand and mimic the neural architectures of a simpler species than that of human. Hence, the proposed architecture is expected to both help research in cognitive robotics and also help understand more complicated brains like that of human beings.
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Taxonomy
TopicsFish biology, ecology, and behavior · Advanced Memory and Neural Computing · Water Quality Monitoring Technologies
