ACM, p 3īell CC, Han VZ, Sugawara Y, Grant K (1997) Synaptic plasticity in a cerebellum-like structure depends on temporal order. In: Proceedings of the 2007 ACM/IEEE conference on supercomputing. In this paper, we explain at the micro-level (i.e., neurons and synapses) how observable decision-making behavior at the macro-level is acquired and achieved.Īnanthanarayanan R, Modha DS (2007) Anatomy of a cortical simulator. Moreover, biological meanings of parameters of our decision-making model are discussed. Compared with previous two-choice decision making models, our model uses synaptic plasticity to explain changes in decision output given the same environment. From results observed in Drosophila experiments, the underlying decision-making process is discussed, and a neural circuit that implements a two-choice decision-making model is proposed to explain and reproduce the observations. Understanding how behaviors are regulated by neural circuits and the encoding and decoding mechanisms from stimuli to responses are important goals in neuroscience. ![]() The process of decision-making and responding according to cues in the environment is stable, sustainable, and learnable. ![]() To adapt to the environment and survive, most animals can control their behaviors by making decisions.
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