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Here, we utilize such principles and propose a framework for modelling neural computational mechanisms of motion in primates using biologically inspired principles.
Classical computationalists typically reply that it is premature to draw firm conclusions based upon biological plausibility, given how little we understand about the relation between neural, computational, and cognitive levels of description (Gallistel and King 2009; Marcus 2003).
The paper confirms the advantages of HANN, demonstrates the potential of increasing the focus on neural diversity and hints at possible new neural computational strategies.
Feedback from output to input of these neural computational units enable them to function as finite-state-automata (fsa), Markov decision processes (MDP), or delay lines in processing signals and generating strings and grammars.
In this work, we propose a hybrid structure to simulate the thermodynamic behavior of pools, which uses neural computational models to incorporate the climatic information of the regions being analyzed.
Any implementation of the kernel associative memory with neural computational units requires a recurrent layered structure (Fig. 4).
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It uses statics, machine learning, neural computing, robotics, computational mathematics and artificial intelligence to explore all data and find meaningful relationships and patterns.
Is it a fundamental feature of reality in its own right, or does its existence depend upon other nonconscious items, be they physical, biological, neural or computational?
In this paper we first presented an artificial neural network computational architecture with functionality inspired by the neural processes of hippocampus.
Effects are consistent with elevated E/I ratio in schizophrenia, establishing a framework for translating neural circuit computational model of cognition to human experiments, explicitly testing mechanistic behavioral hypotheses of cellular-level neural deficits in patients.
However, there is an ongoing debate about the "site" of decision-making in the cortex (e.g. [60]) and so far no comprehensive theory exists that describes, in precise terms, the neural and computational substrates of high-level decisions and associated processes, such as the affective value of choices.
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