Search Results - "Stöckel, Andreas"

Computational properties of multi-compartment LIF neurons with passive dendrites by Stöckel, Andreas, Eliasmith, Chris

“…Abstract Mixed-signal neuromorphic computers often emulate some variant of the LIF neuron model. While, in theory, two-layer networks of these neurons are…”
Get full text

Connecting Biological Detail With Neural Computation: Application to the Cerebellar Granule–Golgi Microcircuit by Stöckel, Andreas, Stewart, Terrence C., Eliasmith, Chris

“…Neurophysiology and neuroanatomy constrain the set of possible computations that can be performed in a brain circuit. While detailed data on brain…”
Get full text

Biologically-Based Computation: How Neural Details and Dynamics Are Suited for Implementing a Variety of Algorithms by Dumont, Nicole Sandra-Yaffa, Stöckel, Andreas, Furlong, P Michael, Bartlett, Madeleine, Eliasmith, Chris, Stewart, Terrence C

“…The Neural Engineering Framework (Eliasmith & Anderson, 2003) is a long-standing method for implementing high-level algorithms constrained by low-level…”
Get full text

Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware by Stöckel, Andreas, Jenzen, Christoph, Thies, Michael, Rückert, Ulrich

“…Large-scale neuromorphic hardware platforms, specialized computer systems for energy efficient simulation of spiking neural networks, are being developed…”
Get full text

Discrete Function Bases and Convolutional Neural Networks by Stöckel, Andreas

“…We discuss the notion of "discrete function bases" with a particular focus on the discrete basis derived from the Legendre Delay Network (LDN). We characterize…”
Get full text

Constructing Dampened LTI Systems Generating Polynomial Bases by Stöckel, Andreas

“…We present an alternative derivation of the LTI system underlying the Legendre Delay Network (LDN). To this end, we first construct an LTI system that…”
Get full text

Passive nonlinear dendritic interactions as a general computational resource in functional spiking neural networks by Stöckel, Andreas, Eliasmith, Chris

“…Nonlinear interactions in the dendritic tree play a key role in neural computation. Nevertheless, modeling frameworks aimed at the construction of large-scale,…”
Get full text

Point Neurons with Conductance-Based Synapses in the Neural Engineering Framework by Stöckel, Andreas, Voelker, Aaron R, Eliasmith, Chris

“…The mathematical model underlying the Neural Engineering Framework (NEF) expresses neuronal input as a linear combination of synaptic currents. However, in…”
Get full text