How advances in neural recording affect data analysis
Over the last five decades, progress in neural recording techniques has allowed the number
of simultaneously recorded neurons to double approximately every 7 years, mimicking …
of simultaneously recorded neurons to double approximately every 7 years, mimicking …
The mechanics of state-dependent neural correlations
Simultaneous recordings from large neural populations are becoming increasingly common.
An important feature of population activity is the trial-to-trial correlated fluctuation of spike …
An important feature of population activity is the trial-to-trial correlated fluctuation of spike …
[HTML][HTML] Cortical membrane potential signature of optimal states for sensory signal detection
The neural correlates of optimal states for signal detection task performance are largely
unknown. One hypothesis holds that optimal states exhibit tonically depolarized cortical …
unknown. One hypothesis holds that optimal states exhibit tonically depolarized cortical …
Modeling the spatial reach of the LFP
The local field potential (LFP) reflects activity of many neurons in the vicinity of the recording
electrode and is therefore useful for studying local network dynamics. Much of the nature of …
electrode and is therefore useful for studying local network dynamics. Much of the nature of …
Power laws and self-organized criticality in theory and nature
Power laws and distributions with heavy tails are common features of many complex
systems. Examples are the distribution of earthquake magnitudes, solar flare intensities and …
systems. Examples are the distribution of earthquake magnitudes, solar flare intensities and …
Packet-based communication in the cortex
Cortical circuits work through the generation of coordinated, large-scale activity patterns. In
sensory systems, the onset of a discrete stimulus usually evokes a temporally organized …
sensory systems, the onset of a discrete stimulus usually evokes a temporally organized …
State dependence of noise correlations in macaque primary visual cortex
Shared, trial-to-trial variability in neuronal populations has a strong impact on the accuracy
of information processing in the brain. Estimates of the level of such noise correlations are …
of information processing in the brain. Estimates of the level of such noise correlations are …
Circuit models of low-dimensional shared variability in cortical networks
Trial-to-trial variability is a reflection of the circuitry and cellular physiology that make up a
neuronal network. A pervasive yet puzzling feature of cortical circuits is that despite their …
neuronal network. A pervasive yet puzzling feature of cortical circuits is that despite their …
[كتاب][B] Analysis of neural data
This book serves as a guide and reference for anyone who wishes to understand analysis of
neural data generated from studies that range from molecules, to circuits, to systems, to …
neural data generated from studies that range from molecules, to circuits, to systems, to …
Maximal variability of phase synchrony in cortical networks with neuronal avalanches
Ongoing interactions among cortical neurons often manifest as network-level synchrony.
Understanding the spatiotemporal dynamics of such spontaneous synchrony is important …
Understanding the spatiotemporal dynamics of such spontaneous synchrony is important …