Massimiliano Versace

Summary

Affiliation: Boston University
Country: USA

Publications

  1. doi request reprint KInNeSS: a modular framework for computational neuroscience
    Massimiliano Versace
    Department of Cognitive and Neural Systems, Boston University, 677 Beacon Street, Boston, MA 02215, USA
    Neuroinformatics 6:291-309. 2008
  2. ncbi request reprint The role of dopamine in the maintenance of working memory in prefrontal cortex neurons: input-driven versus internally-driven networks
    Massimiliano Versace
    Department of Cognitive and Neural Systems, Boston University, 677 Beacon St, Boston, MA 02215, USA
    Int J Neural Syst 20:249-65. 2010
  3. doi request reprint 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
  4. doi request reprint Running as fast as it can: how spiking dynamics form object groupings in the laminar circuits of visual cortex
    Jasmin Léveillé
    Department of Cognitive and Neural Systems, Center for Adaptive Systems, Boston University, Boston, MA 02215, USA
    J Comput Neurosci 28:323-46. 2010
  5. doi request reprint After-hyperpolarization currents and acetylcholine control sigmoid transfer functions in a spiking cortical model
    Jesse Palma
    Center for Adaptive Systems, Department of Cognitive and Neural Systems, and Center of Excellence for Learning In Education, Science, and Technology, Boston University, Boston, MA 02215, USA
    J Comput Neurosci 32:253-80. 2012
  6. doi request reprint The animat: new frontiers in whole brain modeling
    Heather Ames
    Center of Excellence for Learning in Education, Science, and Technology, Boston University, Massachussetts, USA
    IEEE Pulse 3:47-50. 2012
  7. doi request reprint Spikes, synchrony, and attentive learning by laminar thalamocortical circuits
    Stephen 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
  8. pmc Persistence and storage of activity patterns in spiking recurrent cortical networks: modulation of sigmoid signals by after-hyperpolarization currents and acetylcholine
    Jesse Palma
    Graduate Program in Cognitive and Neural Systems, Center for Adaptive Systems, Center of Excellence for Learning in Education, Science, and Technology, Center for Computational Neuroscience and Neural Technology, Boston University, Boston MA, USA
    Front Comput Neurosci 6:42. 2012
  9. ncbi request reprint A model of STDP based on spatially and temporally local information: derivation and combination with gated decay
    Anatoli Gorchetchnikov
    Department of Cognitive and Neural Systems, Boston University, 677 Beacon St, Boston, MA 02215, USA
    Neural Netw 18:458-66. 2005

Collaborators

Detail Information

Publications9

  1. doi request reprint KInNeSS: a modular framework for computational neuroscience
    Massimiliano 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...
  2. ncbi request reprint The role of dopamine in the maintenance of working memory in prefrontal cortex neurons: input-driven versus internally-driven networks
    Massimiliano 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...
  3. doi request reprint 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
    ....
  4. doi request reprint Running as fast as it can: how spiking dynamics form object groupings in the laminar circuits of visual cortex
    Jasmin Léveillé
    Department of Cognitive and Neural Systems, Center for Adaptive Systems, Boston University, Boston, MA 02215, USA
    J Comput Neurosci 28:323-46. 2010
    ....
  5. doi request reprint After-hyperpolarization currents and acetylcholine control sigmoid transfer functions in a spiking cortical model
    Jesse Palma
    Center for Adaptive Systems, Department of Cognitive and Neural Systems, and Center of Excellence for Learning In Education, Science, and Technology, Boston University, Boston, MA 02215, USA
    J Comput Neurosci 32:253-80. 2012
    ....
  6. doi request reprint The animat: new frontiers in whole brain modeling
    Heather Ames
    Center of Excellence for Learning in Education, Science, and Technology, Boston University, Massachussetts, USA
    IEEE Pulse 3:47-50. 2012
    ....
  7. doi request reprint Spikes, synchrony, and attentive learning by laminar thalamocortical circuits
    Stephen 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...
  8. pmc Persistence and storage of activity patterns in spiking recurrent cortical networks: modulation of sigmoid signals by after-hyperpolarization currents and acetylcholine
    Jesse Palma
    Graduate Program in Cognitive and Neural Systems, Center for Adaptive Systems, Center of Excellence for Learning in Education, Science, and Technology, Center for Computational Neuroscience and Neural Technology, Boston University, Boston MA, USA
    Front Comput Neurosci 6:42. 2012
    ..Strengthening inhibition prolongs a partially contrast-enhanced pattern by slowing the transition to stability, while strengthening excitation causes more winners when the network stabilizes...
  9. ncbi request reprint A model of STDP based on spatially and temporally local information: derivation and combination with gated decay
    Anatoli 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...