Research Topics
| Massimiliano VersaceSummaryAffiliation: Boston University Country: USA Publications
| Collaborators
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Detail Information
Publications
KInNeSS: a modular framework for computational neuroscienceMassimiliano Versace
Department of Cognitive and Neural Systems, Boston University, 677 Beacon Street, Boston, MA 02215, USA
Neuroinformatics 6:291-309. 2008..Further development of KInNeSS is ongoing with the ultimate goal of creating a modular framework that will help researchers across different disciplines to effectively collaborate using a modern neural simulation platform...
The role of dopamine in the maintenance of working memory in prefrontal cortex neurons: input-driven versus internally-driven networksMassimiliano Versace
Department of Cognitive and Neural Systems, Boston University, 677 Beacon St, Boston, MA 02215, USA
Int J Neural Syst 20:249-65. 2010..Hypo and hyper-dopaminergic activity that alter this ideal pattern lead to increased distractibility from non-relevant pattern and prolonged perseverations on presented patterns, respectively...
How do object reference frames and motion vector decomposition emerge in laminar cortical circuits?Stephen Grossberg
Center for Adaptive Systems, Department of Cognitive and Neural Systems, and Center of Excellence for Learning In Education, Science, and Technology, Boston University, 677 Beacon Street, Boston, MA 02215, USA
Atten Percept Psychophys 73:1147-70. 2011....
Running as fast as it can: how spiking dynamics form object groupings in the laminar circuits of visual cortexJasmin Léveillé
Department of Cognitive and Neural Systems, Center for Adaptive Systems, Boston University, Boston, MA 02215, USA
J Comput Neurosci 28:323-46. 2010....
Spikes, synchrony, and attentive learning by laminar thalamocortical circuitsStephen Grossberg
Department of Cognitive and Neural Systems, Center for Adaptive Systems, Center of Excellence for Learning in Education, Science, and Technology, Boston University, 677 Beacon Street, Boston, MA 02215, USA
Brain Res 1218:278-312. 2008..The generality of learned recognition codes is controlled by a vigilance process mediated by acetylcholine...
A model of STDP based on spatially and temporally local information: derivation and combination with gated decayAnatoli Gorchetchnikov
Department of Cognitive and Neural Systems, Boston University, 677 Beacon St, Boston, MA 02215, USA
Neural Netw 18:458-66. 2005..The results show that the advantages of using these gatings are transferred to the new rule without sacrificing its dependency on spike-timing...
