Dong Song

TL;DR: These integrated experimental-modeling studies show for the first time that, with sufficient information about the neural coding of memories, a neural prosthesis capable of real-time diagnosis and manipulation of the encoding process can restore and even enhance cognitive, mnemonic processes.

TL;DR: This paper has formulated the transformational process of multi-site propagation of spike activity between two subregions of the hippocampus as the identification of a multiple-input, multiple-output (MIMO) system, and proposed that it can be decomposed into a series of multiple- input, single- output (MISO) systems.

TL;DR: The development of a cognitive prosthesis designed to restore the ability to form new long-term memories typically lost after damage to the hippocampus, and the capability of the MIMO model for highly accurate predictions of CA1 coded memories that can be made on a single-trial basis and in real-time is demonstrated.

TL;DR: The class of prosthesis proposed is one that would replace the computational function of the damaged brain and restore the transmission of that computational result to other regions of the nervous system.

TL;DR: A multiple-input, multiple-output (MIMO) nonlinear dynamic model for the input-output transformation of spike trains is formulated and it is shown that this model is equivalent to a generalized linear model with a probit link function.