scholarly journals Decision letter: State-dependent geometry of population activity in rat auditory cortex

2019 ◽  
Author(s):  
Dan FM Goodman
Keyword(s):  
Auditory Cortex ◽  
Population Activity ◽  
State Dependent

scholarly journals State-dependent geometry of population activity in rat auditory cortex

2018 ◽  
Author(s):  
Dmitry Kobak ◽  
Jose L. Pardo-Vazquez ◽  
Mafalda Valente ◽  
Christian Machens ◽  
Alfonso Renart
Keyword(s):  
Auditory Cortex ◽  
State Dependence ◽  
Theoretical Work ◽  
Population Activity ◽  
State Dependent ◽  
Neural Populations ◽  
Population Codes ◽  
Brain States ◽  
Empirical Foundation ◽  
Global Activity

AbstractThe accuracy of the neural code depends on the relative embedding of signal and noise in the activity of neural populations. Despite a wealth of theoretical work on population codes, there are few empirical characterisations of the high-dimensional signal and noise subspaces. We studied the geometry of population codes in the rat auditory cortex across brain states along the activation-inactivation continuum, using sounds varying in difference and mean level across the ears. As the cortex becomes more activated, single-hemisphere populations go from preferring contralateral loud sounds to a symmetric preference across lateralisations and intensities, gain-modulation effectively disappears, and the signal and noise subspaces become approximately orthogonal to each other and to the direction corresponding to global activity modulations. Level-invariant decoding of sound lateralisation also becomes possible in the active state. Our results provide an empirical foundation for the geometry and state-dependence of cortical population codes.

scholarly journals State-dependent geometry of population activity in rat auditory cortex

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Dmitry Kobak ◽  
Jose L Pardo-Vazquez ◽  
Mafalda Valente ◽  
Christian K Machens ◽  
Alfonso Renart
Keyword(s):  
Auditory Cortex ◽  
State Dependence ◽  
Theoretical Work ◽  
Population Activity ◽  
State Dependent ◽  
Neural Populations ◽  
Population Codes ◽  
Brain States ◽  
Empirical Foundation ◽  
Global Activity

The accuracy of the neural code depends on the relative embedding of signal and noise in the activity of neural populations. Despite a wealth of theoretical work on population codes, there are few empirical characterizations of the high-dimensional signal and noise subspaces. We studied the geometry of population codes in the rat auditory cortex across brain states along the activation-inactivation continuum, using sounds varying in difference and mean level across the ears. As the cortex becomes more activated, single-hemisphere populations go from preferring contralateral loud sounds to a symmetric preference across lateralizations and intensities, gain-modulation effectively disappears, and the signal and noise subspaces become approximately orthogonal to each other and to the direction corresponding to global activity modulations. Level-invariant decoding of sound lateralization also becomes possible in the active state. Our results provide an empirical foundation for the geometry and state-dependence of cortical population codes.

scholarly journals Author response: State-dependent geometry of population activity in rat auditory cortex

2019 ◽  
Author(s):  
Dmitry Kobak ◽  
Jose L Pardo-Vazquez ◽  
Mafalda Valente ◽  
Christian K Machens ◽  
Alfonso Renart
Keyword(s):  
Auditory Cortex ◽  
Author Response ◽  
Population Activity ◽  
State Dependent ◽  
Response State

scholarly journals State-dependent encoding of sound and behavioral meaning in a tertiary region of the ferret auditory cortex

2019 ◽  
Vol 22 (3) ◽  
pp. 447-459 ◽  
Author(s):  
Diego Elgueda ◽  
Daniel Duque ◽  
Susanne Radtke-Schuller ◽  
Pingbo Yin ◽  
Stephen V. David ◽  
...  
Keyword(s):  
Auditory Cortex ◽  
State Dependent

scholarly journals In vivo calcium imaging of CA3 pyramidal neuron populations in adult mouse hippocampus

2021 ◽  
Author(s):  
Gwendolin Schoenfeld ◽  
Stefano Carta ◽  
Peter Rupprecht ◽  
Aslı Ayaz ◽  
Fritjof Helmchen
Keyword(s):  
Calcium Imaging ◽  
Action Potentials ◽  
Pyramidal Neurons ◽  
Population Level ◽  
Calcium Transients ◽  
Population Activity ◽  
Brain Functions ◽  
State Dependent ◽  
Multiple Imaging ◽  
Ca3 Pyramidal Neurons

Neuronal population activity in the hippocampal CA3 subfield is implicated in cognitive brain functions such as memory processing and spatial navigation. However, because of its deep location in the brain, the CA3 area has been difficult to target with modern calcium imaging approaches. Here, we achieved chronic two-photon calcium imaging of CA3 pyramidal neurons with the red fluorescent calcium indicator R-CaMP1.07 in anesthetized and awake mice. We characterize CA3 neuronal activity at both the single-cell and population level and assess its stability across multiple imaging days. During both anesthesia and wakefulness, nearly all CA3 pyramidal neurons displayed calcium transients. Most of the calcium transients were consistent with a high incidence of bursts of action potentials, based on calibration measurements using simultaneous juxtacellular recordings and calcium imaging. In awake mice, we found state-dependent differences with striking large and prolonged calcium transients during locomotion. We estimate that trains of >30 action potentials over 3 s underlie these salient events. Their abundance in particular subsets of neurons was relatively stable across days. At the population level, we found that coactivity within the CA3 network was above chance level and that co-active neuron pairs maintained their correlated activity over days. Our results corroborate the notion of state-dependent spatiotemporal activity patterns in the recurrent network of CA3 and demonstrate that at least some features of population activity, namely coactivity of cell pairs and likelihood to engage in prolonged high activity, are maintained over days.

scholarly journals State-dependent pontine ensemble dynamics and interactions with cortex across sleep states

2019 ◽  
Author(s):  
Tomomi Tsunematsu ◽  
Amisha A Patel ◽  
Arno Onken ◽  
Shuzo Sakata
Keyword(s):  
Rem Sleep ◽  
Hippocampal Neurons ◽  
Specific Activity ◽  
Nrem Sleep ◽  
Dependent Manner ◽  
Sleep Regulation ◽  
Population Activity ◽  
P Waves ◽  
State Dependent ◽  
Global Coordination

AbstractThe pontine nuclei play a crucial role in sleep-wake regulation. However, pontine ensemble dynamics underlying sleep regulation remain poorly understood. By monitoring population activity in multiple pontine and adjacent brainstem areas, here we show slow, state-predictive pontine ensemble dynamics and state-dependent interactions between the pons and the cortex in mice. On a timescale of seconds to minutes, pontine populations exhibit diverse firing across vigilance states, with some of these dynamics being attributed to cell type-specific activity. Pontine population activity can predict pupil dilation and vigilance states: pontine neurons exhibit longer predictable power compared with hippocampal neurons. On a timescale of sub-seconds, pontine waves (P-waves) are observed as synchronous firing of pontine neurons primarily during rapid eye movement (REM) sleep, but also during non-REM (NREM) sleep. Crucially, P-waves functionally interact with cortical activity in a state-dependent manner: during NREM sleep, hippocampal sharp wave-ripples (SWRs) precede P-waves. On the other hand, P-waves during REM sleep are phase-locked with ongoing hippocampal theta oscillations and are followed by burst firing in a subset of hippocampal neurons. Thus, the directionality of functional interactions between the hippocampus and pons changes depending on sleep states. This state-dependent global coordination between pontine and cortical regions implicates distinct functional roles of sleep.

scholarly journals State-Dependent Population Coding in Primary Auditory Cortex

2015 ◽  
Vol 35 (5) ◽  
pp. 2058-2073 ◽  
Author(s):  
M. Pachitariu ◽  
D. R. Lyamzin ◽  
M. Sahani ◽  
N. A. Lesica
Keyword(s):  
Auditory Cortex ◽  
Primary Auditory Cortex ◽  
Population Coding ◽  
State Dependent
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