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Profil bibliographique

Felix Z. Hoffmann

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

10Publications signalées
127Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Neural dynamics and brain functionFunctional Brain Connectivity StudiesAdvanced Memory and Neural ComputingDistributed systems and fault toleranceNeuroscience and Neural Engineering

Les publications récentes

2022 conference-paper OpenAlex

Challenges of Proof-of-Useful-Work (PoUW)

Felix Z. Hoffmann

Proof-of-Work is a popular blockchain consensus algorithm that is used in cryptocurrencies like Bitcoin in which hashing operations are repeated until the resulting hash has certain properties. This approach uses lots of computational power and energy for the sole purpose of securing …

de (code pays fourni par la source)

8 citations
Accès ouvert 2021 article OpenAlex

Dataset for "A general principle of dendritic constancy – a neuron's size andshape invariant excitability"

Hermann Cuntz, Alex D. Bird, Martin Mittag, Marcel Beining et autres

This repository contains the code and data used to generate the figures and the analysis in Cuntz et al., "A general principle of dendritic constancy – a neuron’s size andshape invariant excitability".

de (code pays fourni par la source)

0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2019 preprint OpenAlex

A general principle of dendritic constancy – a neuron’s size and shape invariant excitability

Hermann Cuntz, Alex D. Bird, Marcel Beining, Marius Schneider et autres

Abstract Reducing neuronal size results in less cell membrane and therefore lower input conductance. Smaller neurons are thus more excitable as seen in their voltage responses to current injections in the soma. However, the impact of a neuron’s size and shape on …

de (code pays fourni par la source)

6 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2017 article OpenAlex

Nonrandom network connectivity comes in pairs

Felix Z. Hoffmann, Jochen Triesch

Overrepresentation of bidirectional connections in local cortical networks has been repeatedly reported and is a focus of the ongoing discussion of nonrandom connectivity. Here we show in a brief mathematical analysis that in a network in which connection probabilities are symmetric in …

de (code pays fourni par la source)

8 citations Network Neuroscience
Accès ouvert 2016 preprint OpenAlex

Non-random network connectivity comes in pairs

Felix Z. Hoffmann, Jochen Triesch

Overrepresentation of bidirectional connections in local cortical networks has been repeatedly reported and is in the focus of the ongoing discussion of non-random connectivity. Here we show in a brief mathematical analysis that in a network in which connection probabilities are symmetric …

0 citations arXiv (Cornell University)

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