Results 11 to 20 of about 525,422 (309)
Design Optimisation of Front-End Neural Interfaces for Spike Sorting Systems [PDF]
09.04.13 KB. Accepted version ok to add to spiral. IEEE policyThis work investigates the impact of the analogue front-end design (pre-amplifier, filter and converter) on spike sorting performance in neural interfaces.
Eftekhar, A +2 more
core +5 more sources
On a Generalization of Spikes [PDF]
We consider matroids with the property that every subset of the ground set of size $t$ is contained in both an $\ell$-element circuit and an $\ell$-element cocircuit; we say that such a matroid has the $(t,\ell)$-property. We show that for any positive integer $t$, there is a finite number of matroids with the $(t,\ell)$-property for $\ell<2t ...
Nick Brettell +4 more
openaire +3 more sources
Spike-triggered averages (STAs) for spike tuples.
STAs for spike tuples with a silence time of 20 ms and inter-spike interval (ISI) up to 20 ms (aligned on first spike in a tuple). Left column shows lAIS values averaged over cell pairs for ISI of 1 ms to 10 ms, right column shows averaged lTE values ...
André Moraes Bastos (17409953) +6 more
core +1 more source
On the structure of spikes [PDF]
Spikes are an important class of 3-connected matroids. For an integer $r\geq 3$, there is a unique binary r-spike denoted by $Z_{r}$. When a circuit-hyperplane of $Z_{r}$ is relaxed, we obtain another spike and repeating this procedure will produce other non-binary spikes.
Vahid Ghorbani +2 more
openaire +3 more sources
To Spike or Not to Spike: That Is the Question [PDF]
Both the brain and digital computers process information, but they do this in completely different ways. Neurons in the brain transmit information not through bits, but through spikes. Spikes are short voltage increases that are generated near the cell body of a neuron, with average spike rates below 10 Hz.
openaire +2 more sources
A universal model for spike-frequency adaptation [PDF]
Spike-frequency adaptation is a prominent feature of neural dynamics. Among other mechanisms, various ionic currents modulating spike generation cause this type of neural adaptation.
Andreas V. M. Herz +3 more
core +1 more source
Learning to represent signals spike by spike
A key question in neuroscience is at which level functional meaning emerges from biophysical phenomena. In most vertebrate systems, precise functions are assigned at the level of neural populations, while single-neurons are deemed unreliable and redundant.
Wieland Brendel +4 more
openaire +7 more sources
SPIKE TRAINS IN SPIKING NEURAL P SYSTEMS [PDF]
We continue here the study of the recently introduced spiking neural P systems, which mimic the way that neurons communicate with each other by means of short electrical impulses, identical in shape (voltage), but emitted at precise moments of time.
Gheorghe Paun +2 more
openaire +5 more sources
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks
Accepted by ...
Yufei Guo +7 more
openaire +2 more sources
On the stationary Cahn-Hilliard equation: Interior spike solutions [PDF]
We study solutions of the stationary Cahn-Hilliard equation in a bounded smooth domain which have a spike in the interior. We show that a large class of interior points (the "nondegenerate peak" points) have the following property: there exist such ...
Winter, M, Wei, J
core +1 more source

