Abstract. Many different neural models have been proposed to account for major characteristics of the mem-ory phenomenon family in primates. However, in spite of the large body of neurophysiological, anatomical and behavioral data, there is no direct evidence for supporting one model while falsifying the others. And yet, we can dis-criminate models based on their complexity and/or their predictive power. In this paper we present a computational framework with our basic assumption that neural information processing is performed by generative networks. A complex architecture is ‘derived ’ by using information-theoretic principles. We find that our approach seems to uncover possible relations among the functional memory units (declarative and ...
Computational modeling of the primate visual system yields insights of potential relevance to some o...
The brain is an information processing machine and thus naturally lends itself to be studied using c...
The human brain is a flexible information processing system. Across a range of simple and complex ta...
This dissertation presents a comprehensive unified anatomical theory in conjunction with computation...
Computational neuroscience provides a way to bridge from the anatomical and neurophysiological prope...
The human brain is the most complex object created by evolution in the known universe. Yet, how much...
There has been a long tradition of casting models of information processing which entail elementary ...
Computer models based on the detailed biology of the brain can help us understand the myriad complex...
AbstractWe try to explain the function of the cerebral cortex by representing it as a large array of...
Interactions between the cerebral cortex, thalamus, and basal ganglia form the basis ofcognitive inf...
This chapter focuses on how the primate forebrain might be organized at the systems level to yield b...
This chapter presents an overview of a computational approach towards understanding the different co...
ABSTRACT Cognitive functions arise from the coordinated activity of neural populations distributed o...
A variety of anatomical and physiological evidence suggests that the brain performs computations usi...
Computational modeling of the primate visual system yields insights of potential relevance to some o...
Computational modeling of the primate visual system yields insights of potential relevance to some o...
The brain is an information processing machine and thus naturally lends itself to be studied using c...
The human brain is a flexible information processing system. Across a range of simple and complex ta...
This dissertation presents a comprehensive unified anatomical theory in conjunction with computation...
Computational neuroscience provides a way to bridge from the anatomical and neurophysiological prope...
The human brain is the most complex object created by evolution in the known universe. Yet, how much...
There has been a long tradition of casting models of information processing which entail elementary ...
Computer models based on the detailed biology of the brain can help us understand the myriad complex...
AbstractWe try to explain the function of the cerebral cortex by representing it as a large array of...
Interactions between the cerebral cortex, thalamus, and basal ganglia form the basis ofcognitive inf...
This chapter focuses on how the primate forebrain might be organized at the systems level to yield b...
This chapter presents an overview of a computational approach towards understanding the different co...
ABSTRACT Cognitive functions arise from the coordinated activity of neural populations distributed o...
A variety of anatomical and physiological evidence suggests that the brain performs computations usi...
Computational modeling of the primate visual system yields insights of potential relevance to some o...
Computational modeling of the primate visual system yields insights of potential relevance to some o...
The brain is an information processing machine and thus naturally lends itself to be studied using c...
The human brain is a flexible information processing system. Across a range of simple and complex ta...