Zobrazeno 1 - 10
of 182
pro vyhledávání: '"Bugmann G"'
Publikováno v:
In Annals of Physical and Rehabilitation Medicine December 2016 59(5-6):326-332
Publikováno v:
In Neurocomputing 2011 74(17):3335-3342
Publikováno v:
Industrial Robot: An International Journal, 2005, Vol. 32, Issue 6, pp. 499-504.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/01439910510629235
Publikováno v:
BioSystems
Biological systems are able to recognise temporal sequences of stimuli or compute in the temporal domain. In this paper we are exploring whether a biophysical model of a pyramidal neuron can detect and learn systematic time delays between the spikes
Publikováno v:
In Computers and Structures 2001 79(17):1541-1552
Autor:
Christodoulou, Chris C., Bugmann, G.
Publikováno v:
BioSystems
The effect of inhibition on the firing variability is examined in this paper using the biologically-inspired temporal noisy-leaky integrator (TNLI) neuron model. The TNLI incorporates hyperpolarising inhibition with negative current pulses of control
Publikováno v:
Cangelosi, A.; Bugmann, G.; Borisyuk, R. (ed.), Modeling language, cognition and action: Proceedings of the 9th Neural Computation and Psychology Workshop-NCPW9, Plymouth, 119-128. Singapore : World Scientific
STARTPAGE=119;ENDPAGE=128;TITLE=Cangelosi, A.; Bugmann, G.; Borisyuk, R. (ed.), Modeling language, cognition and action: Proceedings of the 9th Neural Computation and Psychology Workshop-NCPW9, Plymouth
Cangelosi, A.; Bugmann, G.; Borisyuk, R. (ed.), Modeling language, cognition and action: Proceedings of the 9th Neural Computation and Psychology Workshop-NCPW9, Plymouth, pp. 119-128
STARTPAGE=119;ENDPAGE=128;TITLE=Cangelosi, A.; Bugmann, G.; Borisyuk, R. (ed.), Modeling language, cognition and action: Proceedings of the 9th Neural Computation and Psychology Workshop-NCPW9, Plymouth
Cangelosi, A.; Bugmann, G.; Borisyuk, R. (ed.), Modeling language, cognition and action: Proceedings of the 9th Neural Computation and Psychology Workshop-NCPW9, Plymouth, pp. 119-128
Contains fulltext : 56420.pdf (Publisher’s version ) (Closed access) 422 p.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::145acdfc92f454575781d79ebdeed78c
http://hdl.handle.net/2066/56420
http://hdl.handle.net/2066/56420
Publikováno v:
Neural computation
Neural Comp.
Neural Comp.
In this letter, we aim to measure the relative contribution of coincidence detection and temporal integration to the firing of spikes of a simple neuron model. To this end, we develop a method to infer the degree of synchrony in an ensemble of neuron
Publikováno v:
Proceedings of the 11th Conference Towards Autonomous Robotic Systems (Taros 2010), 68-75
STARTPAGE=68;ENDPAGE=75;TITLE=Proceedings of the 11th Conference Towards Autonomous Robotic Systems (Taros 2010)
STARTPAGE=68;ENDPAGE=75;TITLE=Proceedings of the 11th Conference Towards Autonomous Robotic Systems (Taros 2010)
Teams of communicating robots are likely to be used for a wide range of applications in the near future, such as robotic search and rescue or robotic exploration of hostile and remote environments. In such scenarios, environments are likely to contai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::12f46a1b0ea2513503c933e167b088ee
https://dare.uva.nl/personal/pure/en/publications/autonomous-multirobot-exploration-in-communicationlimited-environments(55bba1d3-d3c5-4145-ac40-552a49cd59c6).html
https://dare.uva.nl/personal/pure/en/publications/autonomous-multirobot-exploration-in-communicationlimited-environments(55bba1d3-d3c5-4145-ac40-552a49cd59c6).html
Publikováno v:
Neural Networks
Neural Netw.
Neural Netw.
This paper presents a biologically inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the model as well as its applications in Computational Neuroscience are demon