Titlebook: Computational Neuroscience; A First Course Hanspeter A Mallot Textbook 20131st edition Springer International Publishing Switzerland 2013 A

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Receptive Fields and the Specificity of Neuronal Firing,tivity of a single neuron with externally measurable parameters of the stimulus. This approach is known as reverse correlation, since stimuli will always preceed the neuronal activity. The concept of correlation between neuronal activity and external measurables, however, generalizes easily to the m

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Receptive Fields and the Specificity of Neuronal Firing,osition of a light stimulus in the visual field, the pitch of a tone, or the appearance of a familiar face. In “associative” areas of the brain, specificities for more abstract concepts have been found including cells representing place (e.g., in rodent hippocampus), or numerosity (e.g., in primate

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Fourier Analysis for Neuroscientists,for scientific computing in general. It is included here not so much because it is a genuine part of computational neuroscience, but because computational and systems neuroscience make extensive use of it. It is closely related to systems theory as introduced in the previous chapter but is also usef

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Artificial Neural Networks,ter 1: activity is usually represented by a binary variable (1 = firing; 0 = silent) and time is modeled by a discrete sequence of time steps running in synchrony for all neurons in the net. Besides activity, the most interesting state variable of such networks is synaptic strength, or weight, which

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Coding and Representation,o generally occur in different cells. The information is contained in the specificity, or tuning curve of the cell generating the spike. This may be considered a modern account of the notion of the “specific sense energies” formulated by Johannes Müller already in 1826. In effect, any stimulation of

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Book 2022nment/city applications is critical for supporting future research. This book includes chapters written by researchers from different countries across the globe and identifies critical threads in research and also gaps that open up new and challenging lines of research for the future. Recent advance