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Signal representation and computational principles discovered in biological neural networks have long challenged our assumptions on how to build artificial robotic systems. In the context of spatial navigation, this work assumes that ‘place’ cells, found in the mammalian hippocampus, are involved in providing directions to a distant, but previously visited goal. This work uses a sparse topological...
Neurophysiological experiments in the hippocampal formation of echolocating bats have found grid cells (thought to be used for odometry) as in other mammals, but without continuous theta frequency oscillations (∼8 Hz) prominent in other mammals. We describe a ‘theta-free’ model of grid cell property creation for echolocating bats that is amenable to VLSI implementation of hippocampal models of spatial...
Neurons in the medial entorhinal cortex of rats have been found to respond in a two-dimensional hexagonal “grid” pattern anchored to the environment. “Grid cells” with different spatial frequencies are thought to contribute to the creation of unimodal “place” cell responses useful for spatial navigation. In this paper we present results from an analog VLSI circuit that generates a hexagonal grid of...
Many animals are known to maintain an internal estimate of their orientation in the environment. In the absence of external sensory cues, this estimate inevitably exhibits drift. When sensory information is available, associations between sensory landmarks and the internal estimate can be used to correct for drift. In this paper we present a neuromorphic system to model such associations between sensory...
The head direction (HD) cell system in the brain of mammals is thought to be part of the neural circuitry supporting their spatial navigation capabilities. In this paper we present a neuromorphic very large scale integration system that models the operation of the HD system. Relying on spiking neurons and attractor dynamics, this system can be used to represent and retain the current estimate of head...
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