DOI: 10.5061/dryad.f456k4f
title: Data from: Precise excitation-inhibition balance controls gain and timing in the hippocampus

description: Excitation-inhibition (EI) balance controls excitability, dynamic range,
 and input gating in many brain circuits. Subsets of synaptic input can be
 selected or 'gated' by precise modulation of finely tuned EI
 balance, but assessing the granularity of EI balance requires
 combinatorial analysis of excitatory and inhibitory inputs. Using
 patterned optogenetic stimulation of mouse hippocampal CA3 neurons, we
 show that hundreds of unique CA3 input combinations recruit excitation and
 inhibition with a nearly identical ratio, demonstrating precise EI balance
 at the hippocampus. Crucially, the delay between excitation and inhibition
 decreases as excitatory input increases from a few synapses to tens of
 synapses. This creates a dynamic millisecond-range window for postsynaptic
 excitation, controlling membrane depolarization amplitude and timing via
 subthreshold divisive normalization. We suggest that this combination of
 precise EI balance and dynamic EI delays forms a general mechanism for
 millisecond-range input gating and subthreshold gain control in
 feedforward networks.
description: Current clamp dataset
 for CA1 pyramidal neurons stimulated with patterned stimulation of CA3
 neurons - part 1This zipped file
 contains the first part of the CA1 current clamp data in the form of
 python pickle files. Each file contains the data for the photodiode
 recordings, the photostimulation coordinates, and the associated traces
 for all stimuli to a single CA1 neuron. For example codes to access the
 data, please visit the github repository associated with the paper:
 https://github.com/sahilm89/linearityCA1_1.zipCurrent clamp dataset for CA3 pyramidal neurons stimulated with patterned stimulation of CA3 neuronsThis zipped file contains the first part of the CA3 current clamp data in the form of python pickle files. Each file contains the data for the photodiode recordings, the photostimulation coordinates, and the associated traces for all stimuli to a single CA3 neuron. For example codes to access the data, please visit the github repository associated with the paper: https://github.com/sahilm89/linearityCA3.zipCurrent clamp dataset for CA1 pyramidal neurons stimulated with patterned stimulation of CA3 neurons - part 2This zipped file contains the second part of the CA1 current clamp data in the form of python pickle files. Each file contains the data for the photodiode recordings, the photostimulation coordinates, and the associated traces for all stimuli to a single CA1 neuron. For example codes to access the data, please visit the github repository associated with the paper: https://github.com/sahilm89/linearityCA1_2.zipCurrent clamp dataset for CA1 pyramidal neurons stimulated with patterned stimulation of CA3 neurons (Control and GABAzine)This zipped file contains the CA1 current clamp data in the form of python pickle files. Each file contains the data for the photodiode recordings, the photostimulation coordinates, and the associated traces for all stimuli to a single CA1 neuron both in the presence and absence of GABAzine. For example codes to access the data, please visit the github repository associated with the paper: https://github.com/sahilm89/linearityCA1_GABAzine.zipVoltage clamp dataset for CA1 pyramidal neurons stimulated with patterned stimulation of CA3 neuronsThis zipped file contains the first part of the CA1 voltage clamp data in the form of python pickle files. Each file contains the data for the photodiode recordings, the photostimulation coordinates, and the associated traces for all stimuli to a single CA1 neuron clamped to both excitatory and inhibitory reversal potentials. For example codes to access the data, please visit the github repository associated with the paper: https://github.com/sahilm89/linearity.voltageClamp.zip