Including results for Restoration of spike signals: a new optimal estimate and a comparison.
Restoration of spiky signals: a new optimal estimate and a comparison ; Article #: ; Date of Conference: 09-12 May 1995 ; Date Added to IEEE Xplore: 06 August 2002.
ABSTRACT. The subject of this communication is the restoration of spiky sequences distorted by a linear system and corrupted by an additive noise.
Restoration of spiky signals: a new optimal estimate and a comparison. Authors: C. Heinrich. C. Heinrich. View Profile. , J. Bercher. J. Bercher.
Reconstructing stimuli from the spike trains of neurons is an important approach for understanding the neural code. One of the difficulties associated with ...
This paper presented a neural network-based signal-to-signal conversion approach (S2S) for spike estimation from imaging data. The neural network analyses and ...
Oct 2, 2019 · Several strong analytical methods for estimating connections from spike trains have been developed, including the CC analysis,,, and the GLM,,,, ...
Missing: Restoration spiky
Nov 8, 2022 · The paper presents a method based on Swin transformer to restore high-frequency neuronal spikes from low-frequency signals. Strength And ...
Jul 11, 2018 · Our main goal is to recover (estimate or predict) the unobserved signals Xi. ... The new signal component is MXi, the new noise is A> i εi ...
There are three main approaches to detect spikes in neural data. The first type includes algorithms that can be implemented in hardware. Amplitude threshold ...
Aug 11, 2024 · The framework demonstrates excellent reconstruction accuracy at low spike rates, outperforming state-of-the-art sparse coding techniques. It ...
Missing: Restoration spiky