Proceedings of the International Conference on Neuromorphic Systems 2018
DOI: 10.1145/3229884.3229888
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Abstract: It is true that the "best" neural network is not necessarily the one with the most "brain-like" behavior. Understanding biological intelligence, however, is a fundamental goal for several distinct disciplines. Translating our understanding of intelligence to machines is a fundamental problem in robotics. Propelled by new advancements in Neuroscience, we developed a spiking neural network (SNN) that draws from mounting experimental evidence that a number of individual neurons is associated with spatial navigati… Show more

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Cited by 38 publications
(18 citation statements)
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“…In 2016, NANs have been identified as potential targets for deep learning [66]. The overlay of the astrocytic layer on the neuronal network layer could also possibly improve the function of our brain-morphic robots, which exploit the neuronal connectome [90]. Our proposed astrocytic model suggests a functional role for Calcium waves in NAN applications, where astrocytes may be sensing and imposing synchronous neural activity across their microdomains.…”
Section: Discussionmentioning
confidence: 99%
“…In 2016, NANs have been identified as potential targets for deep learning [66]. The overlay of the astrocytic layer on the neuronal network layer could also possibly improve the function of our brain-morphic robots, which exploit the neuronal connectome [90]. Our proposed astrocytic model suggests a functional role for Calcium waves in NAN applications, where astrocytes may be sensing and imposing synchronous neural activity across their microdomains.…”
Section: Discussionmentioning
confidence: 99%
“…Some authors have attempted to develop navigation systems using spiking but not bioinspired networks, refer other studies. [ 17 ] Others propose fully bioinspired navigation systems (including all the stages in the process), such as other studies, [ 14 ] which do not present any learning phase and, therefore, the environment is hard‐coded in a static memory, [ 8 ] which is only able to map three different possible states.…”
Section: Introductionmentioning
confidence: 99%
“…The navigation process in living beings presents different temporally separated phases of behaviors: environment mapping, path planning and motor control, or translation of the action into motor commands. [ 7,8 ]…”
Section: Introductionmentioning
confidence: 99%
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“…Studies have revealed that the biological maps constructed by animals depend on robust processing strategies using place cells, head direction cells, and grid cells, rather than on a precise description of the world (James, 2001). Several researchers have explored the mechanisms underlying rodent navigation using physiological experiments (Hu et al, 2016;Sanchez-Andres et al, 2020), and have subsequently created models of the rodent brain (Fleischer and Edelman, 2009;Krichmar, 2018; or of memory function (Tan et al, 2013;Tang et al, 2017;Madl et al, 2018;Tang and Michmizos, 2018). Among them, the RatSLAM algorithm based on rodents is widely accepted due to its strong biological rationality and low requirements for computing power (Milford et al, 2004;Milford and Wyeth, 2008;Yuan et al, 2015).…”
Section: Introductionmentioning
confidence: 99%