_In what computational aspect is the brain different from the_ _computer? In what objective measures can the brain said to be_ _“creative”? These are the fundamental questions that concerns the_ _neural basis of human mental activity. Here we discuss several_ _important aspects of the essential computational ingredients of human_ _mind in order to understand the “creative” process going on in the_ _brain. One of the key concepts is the nature of the source of_ _"externality" that adds new ingredients to the (...) system and its output. We_ _argue that in addition to information input and stochasticity, we need to_ _consider a third possibility, namely "dynamics-embedded externality"._ _We discuss how the neural origin of the subjective sensory qualities_ _ is related to this aspect of creativity. The invariance of qualia _ _under a certain class of transformation, and the mapping of discrete,_. (shrink)

ニューロン発火がなぜ「心」になるのか? 私が私であることの不思議、意識の謎に正面から挑んだ、茂木健一郎の核心!

_The concept of qualia describes the unique properties that_ _accompany our senses. It is an essential concept when we try to_ _understand the principle that bridges the neural firings in our_ _brain and our perception. The idea of qualia is also of crucial_ _importance when we try to study the functions of the brain from_ _an objective point of view. Qualia must be part of the_ _mathematical formulation of information we use to understand_ _the function of the brain._.

manner. The construction of the space-time structure that describes the dynamics of the neural network in a causal manner is a non-trivial problem. I critically review the idea of response selectivity as is applied to.

The privileged position of neural activity in biological neuroscience might be justified on the grounds of the nonlinear and all-or-none character of neural firing. To justify the neuron doctrine in cognitive neuroscience and make it both plausible and radical, we must consider the supervenience of elementary mental properties such as qualia on neural activity.

We analyzed the variability of response in records obtained from MT (V5) of awake, behaving monkeys and kindly provided to us by Newsome and Bair (see Newsome et al 1990 for Methods). Some sets of random dot kinematograms had been generated with a constant randomization seed (novar stimuli), while others had been generated with varying randomization seeds (var stimuli). The neural responses to novar stimuli exhibited a remarkable degree of consistent temporal modulation, while the responses to var stimuli were homogeneous (...) over the presentation time. We suspected that correspondence noise might be a major source of variability and to test this we compared the variability of response to novar and var stimuli, making the assumption that the variability observed in responses to novar stimuli reflected the internal noise only, whereas variability in the case of var stimuli reflected internal noise and external noise. From this assumption, we could estimate the relative importance of external noise and internal noise in this system. The main conclusions are:- (1) Efficiency values (up to about 35%) calculated from neural responses in MT are of the same order as those of human observers, (Barlow and Tripathy 1997) (2) External correspondence noise is a significant factor in limiting the detectability of coherent motion in these random dot stimuli. (shrink)