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On the optimality of grid cells
Grid cells, discovered more than a decade ago [5], are neurons in the br...
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Implementation of ASK, FSK and PSK with BER vs. SNR comparison over AWGN channel
This paper mainly discusses about three basic digital modulation process...
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Capacity Analysis of Index Modulations over Spatial, Polarization and Frequency Dimensions
Determining the capacity of a modulation scheme is a fundamental topic o...
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Reinforcement Learning for Efficient and Tuning-Free Link Adaptation
Link adaptation (LA) optimizes the selection of modulation and coding sc...
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Composition Modulation
In this paper, we propose novel modulation concepts that we call weak co...
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On the Diversity of OTFS Modulation in Doubly-Dispersive Channels
Orthogonal time frequency space (OTFS) is a 2-dimensional (2D) modulatio...
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Simple Closed-Form Approximations for Achievable Information Rates of Coded Modulation Systems
The intuitive sphere-packing argument is used to obtain analytically-tra...
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Dopamine modulation of prefrontal delay activity-reverberatory activity and sharpness of tuning curves
Recent electrophysiological experiments have shown that dopamine (D1) modulation of pyramidal cells in prefrontal cortex reduces spike frequency adaptation and enhances NMDA transmission. Using four models, from multicompartmental to integrate and fire, we examine the effects of these modulations on sustained (delay) activity in a reverberatory network. We find that D1 modulation may enable robust network bistability yielding selective reverberation among cells that code for a particular item or location. We further show that the tuning curve of such cells is sharpened, and that signal-to-noise ratio is increased. We postulate that D1 modulation affects the tuning of "memory fields" and yield efficient distributed dynamic representations.
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