Martina Lamberti - Academia.edu (original) (raw)

Papers by Martina Lamberti

Research paper thumbnail of Author Correction: Maximum entropy models provide functional connectivity estimates in neural networks

Scientific Reports

Gerco Hassink and Marloes Levers for the technical assistance in cell culture preparation. We als... more Gerco Hassink and Marloes Levers for the technical assistance in cell culture preparation. We also thank Christopher Hillar for personal communications and the use of his open source software package https:// github. com/ team-hdnet/ hdnet. This study was supported by the US Air Force Office for Scientific Research, Grant Number FA9550-19-1-0411. " As a result of this error, reference 26 was omitted from the text and the reference list. "The parameters describing the first order interaction between pairs of neurons could be interpreted as functional connectivity. Fitting these models has been difficult, but recent advances in machine learning allow for computationally efficient fitting of large populations of neurons 24,25. " now reads: "The parameters describing the first order interaction between pairs of neurons could be interpreted as functional connectivity. Fitting these models has been difficult, but recent advances in machine learning allow for computationally efficient fitting of large populations of neurons 24,25,26. " All the subsequent references have been renumbered. The original Article has been corrected.

Research paper thumbnail of Maximum entropy models provide functional connectivity estimates in neural networks

Scientific Reports

Tools to estimate brain connectivity offer the potential to enhance our understanding of brain fu... more Tools to estimate brain connectivity offer the potential to enhance our understanding of brain functioning. The behavior of neuronal networks, including functional connectivity and induced connectivity changes by external stimuli, can be studied using models of cultured neurons. Cultured neurons tend to be active in groups, and pairs of neurons are said to be functionally connected when their firing patterns show significant synchronicity. Methods to infer functional connections are often based on pair-wise cross-correlation between activity patterns of (small groups of) neurons. However, these methods are not very sensitive to detect inhibitory connections, and they were not designed for use during stimulation. Maximum Entropy (MaxEnt) models may provide a conceptually different method to infer functional connectivity. They have the potential benefit to estimate functional connectivity during stimulation, and to infer excitatory as well as inhibitory connections. MaxEnt models do n...

Research paper thumbnail of Consolidation of memory traces in cultured cortical networks requires low cholinergic tone, synchronized activity and high network excitability

Journal of Neural Engineering, 2021

In systems consolidation, encoded memories are replayed by the hippocampus during slow-wave sleep... more In systems consolidation, encoded memories are replayed by the hippocampus during slow-wave sleep (SWS), and permanently stored in the neocortex. Declarative memory consolidation is believed to benefit from the oscillatory rhythms and low cholinergic tone observed in this sleep stage, but underlying mechanisms remain unclear. To clarify the role of cholinergic modulation and synchronized activity in memory consolidation, we applied repeated electrical stimulation in mature cultures of dissociated rat cortical neurons with high or low cholinergic tone, mimicking the cue replay observed during systems consolidation under distinct cholinergic concentrations. In the absence of cholinergic input, these cultures display activity patterns hallmarked by network bursts, synchronized events reminiscent of the low frequency oscillations observed during SWS. They display stable activity and connectivity, which mutually interact and achieve an equilibrium. Electrical stimulation reforms the equi...

Research paper thumbnail of Author Correction: Maximum entropy models provide functional connectivity estimates in neural networks

Scientific Reports

Gerco Hassink and Marloes Levers for the technical assistance in cell culture preparation. We als... more Gerco Hassink and Marloes Levers for the technical assistance in cell culture preparation. We also thank Christopher Hillar for personal communications and the use of his open source software package https:// github. com/ team-hdnet/ hdnet. This study was supported by the US Air Force Office for Scientific Research, Grant Number FA9550-19-1-0411. " As a result of this error, reference 26 was omitted from the text and the reference list. "The parameters describing the first order interaction between pairs of neurons could be interpreted as functional connectivity. Fitting these models has been difficult, but recent advances in machine learning allow for computationally efficient fitting of large populations of neurons 24,25. " now reads: "The parameters describing the first order interaction between pairs of neurons could be interpreted as functional connectivity. Fitting these models has been difficult, but recent advances in machine learning allow for computationally efficient fitting of large populations of neurons 24,25,26. " All the subsequent references have been renumbered. The original Article has been corrected.

Research paper thumbnail of Maximum entropy models provide functional connectivity estimates in neural networks

Scientific Reports

Tools to estimate brain connectivity offer the potential to enhance our understanding of brain fu... more Tools to estimate brain connectivity offer the potential to enhance our understanding of brain functioning. The behavior of neuronal networks, including functional connectivity and induced connectivity changes by external stimuli, can be studied using models of cultured neurons. Cultured neurons tend to be active in groups, and pairs of neurons are said to be functionally connected when their firing patterns show significant synchronicity. Methods to infer functional connections are often based on pair-wise cross-correlation between activity patterns of (small groups of) neurons. However, these methods are not very sensitive to detect inhibitory connections, and they were not designed for use during stimulation. Maximum Entropy (MaxEnt) models may provide a conceptually different method to infer functional connectivity. They have the potential benefit to estimate functional connectivity during stimulation, and to infer excitatory as well as inhibitory connections. MaxEnt models do n...

Research paper thumbnail of Consolidation of memory traces in cultured cortical networks requires low cholinergic tone, synchronized activity and high network excitability

Journal of Neural Engineering, 2021

In systems consolidation, encoded memories are replayed by the hippocampus during slow-wave sleep... more In systems consolidation, encoded memories are replayed by the hippocampus during slow-wave sleep (SWS), and permanently stored in the neocortex. Declarative memory consolidation is believed to benefit from the oscillatory rhythms and low cholinergic tone observed in this sleep stage, but underlying mechanisms remain unclear. To clarify the role of cholinergic modulation and synchronized activity in memory consolidation, we applied repeated electrical stimulation in mature cultures of dissociated rat cortical neurons with high or low cholinergic tone, mimicking the cue replay observed during systems consolidation under distinct cholinergic concentrations. In the absence of cholinergic input, these cultures display activity patterns hallmarked by network bursts, synchronized events reminiscent of the low frequency oscillations observed during SWS. They display stable activity and connectivity, which mutually interact and achieve an equilibrium. Electrical stimulation reforms the equi...