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Neuron. 1991 Mar;6(3):333-44.
Control of postsynaptic Ca2+ influx in developing neocortex by excitatory and inhibitory neurotransmitters.
Yuste R, Katz LC.
Laboratory of Neurobiology, Rockefeller University, New York, New York 10021.
We assessed the pathways by which excitatory and inhibitory neurotransmitters elicit postsynaptic changes in [Ca2+]i in brain slices of developing rat and cat neocortex, using fura 2. Glutamate, NMDA, and quisqualate transiently elevated [Ca2%]i in all neurons. While the quisqualate response relied exclusively on voltage-gated Ca2+ channels, almost all of the NMDA-induced Ca2+ influx was via the NMDA ionophore itself, rather than through voltage-gated Ca2+ channels. Glutamate itself altered [Ca2+]i almost exclusively via the NMDA receptor. Furthermore, synaptically induced Ca2+ entry relied almost completely on NMDA receptor activation, even with low-frequency stimulation. The inhibitory neurotransmitter GABA also increased [Ca2+]i, probably via voltage-sensitive Ca2+ channels, whereas the neuromodulator acetylcholine caused Ca2+ release from intracellular stores via a muscarinic receptor. Low concentrations of these agonists produced nonperiodic [Ca2+]i oscillations, which were temporally correlated in neighbouring cells. Optical recording with Ca2(+)-sensitive indicators may thus permit the visualization of functional networks in developing cortical circuits.
Calcium imaging of cortical microcircuits
Single-cell resolution imaging of Ca2+
influx due to action potentials
• L5 pyramid loaded with 50µM fura• imaged by photodiode array at 1.6 kHz (0.6ms/frame)
Whole-cell filled
AM filled
Trains of action potentials
50 Hz 40 Hz
Cortical circuits in vitro are spontaneously active:spontaneous activity as a tool, let the circuit speak
QuickTime™ and aCinepak decompressor
are needed to see this picture.
V
IV
II/III
Automatic identification of cells
Detection of calcium transients
100
300
500
700
Cel
l num
ber
01234567
*
*
* *** *
% c
ells
act
ive
/ fra
me
p < 0.05
a
Spontaneous synchronizations of a small % of neuronsLow temporal resolution- 1sec/frame
Spontaneous coactivations have specific spatial patterns
9 mV5 s
-70 mV, 0 pA
500 ms9 mV
1.3 s9 mV9 mV
500 ms
1 2 3 4
1 2 3 4
Synchronizations correspond to UP states
UP states can last several seconds
Stereotyped dynamics of circuit coactivations
Cortical motifs and songs: repeated sequences of activityIntermediate temporal resolution- 50 msec/frame
Shuffling tests
Photodiode array: 0.6 msec/frame
Local synchronizations
Sequential activations of cells
Pacemakers
Pacemakers are more regular
Repeated network activity measured in a single cell10 KHz resolution
i iii iv
10 pA
200 ms
Repeated motifs of spontaneous activity in slices
Millisecond precision
Correlation between intracellular and optical repetitions
Repetitions in vivo
Ilan Lampl/David Ferster
What is role of thalamic stimulation on cortical dynamics?
L4
L2/3
L5
Adapted from Brecht et al 2003
Thalamic Stimulation
4-8 stimuli40 Hz200 s50 – 100 A
ThalamusThalamus
““Barrel” CortexBarrel” Cortex
Stimulation ElectrodeStimulation Electrode
Imaging Layer 4 response to thalamic stimulation
20 mV
1 s
Thalamic stimulation generates cortical UP states
UP states• Prolonged depolarizations • ~ 10 mV depolarized from rest• Preferential state for action potential
generation• Coincident with multiple nearby neurons
Vm -70 mV
500 ms
20 mV
Spontaneous
Spontaneous activity also generates cortical UP states
Triggered
Triggered Core
SpontaneousX 5 X 4
Spontaneous Core
Overlap
Overlap Core
Spontaneous activity and thalamic stimulation engage the same neurons !!!
Triggered Spontaneous Overlap
5mV
20mV
500 ms1 s
Amplitude Duration No. APs
Similar Spontaneous and Evoked Intracellular UP states
# of APs
Amplitude
DurationCorrelation of UPstates within cells
Triggered Spontaneous Core
1
2
3
Fra
me
Nu
mb
erIdentical Network Dynamics during Spontaneous
and Evoked Network Events- 100 msec/frame
Tim
e
10 mV
500 ms
5 mV
100 ms
Millisecond Precision in the Repetition of Synaptic inputs during spontaneous and thalamic UP states
Novel types of spontaneous network dynamicsData:
• Reverberating activity is prevalent at all temporal scales• Spatiotemporal patterns are real: statistics, two techniques, spatial profile, UP states, they can be triggered• Sparse dynamics: small number of cells • Single neurons can participate in many patterns• Repetitions never exact• Thalamic stimulation triggers internal states
Speculation:
• Spatially organized ensembles: related to circuit features?• Preferred states: attractors or metastable states?• Precisely repeated dynamics: Abeles’ synfire chains?• Cortex as a giant CPG?
Spinal Central Pattern Generator Cortical Microcircuit
Cortex as a giant CPG
Buqing Mao-postdoc
Rosa Cossart-postdoc
Dimitry Aronov-undergraduate student
Yuji Ikegaya-visiting professor
Gloster Aaron-postdoc
Jason McLean-postdoc
Brendon Watson-MD PhD student
National Eye Institute- HHMI
Synfire chains hypothesis- Moshe Abeles
Synchronous firing
Nonlinear gain paradoxically reduces jitter
Faithful propagation
Faithful repetition
Precise Firing Sequences
Two theories of brain function:
Feed forward: SherringtonHubel &WieselReceptive fieldsSpeed of processing
Feedback: Brown
Lorente/HebbLlinásRecurrent connectivitySpontaneous activity
Pyramidal neurons in layer 5
1
2
3
Fra
me
Nu
mb
er
TriggeredNaive Core
An Already Existing Network Mediates the Observed Dynamics
Tim
e
10 mV
500 ms
An Already Existing Network Mediates the Observed Dynamics
40 %
30 %
<10 %Thalamus
Even in L4, the vast majority of excitatory synapses arise
locally within cortex
(20 % long corticocortical excitatory connections)
Circuit attractors
Attractors
Input
Inputs
Adapted from Wilson, 1999
Memories
Example of an emergent computation
Synfire chains
Evidence for synfire chainsAbeles PFSSpatial navigation in hippocampusBirdsong sequencesCPGs
Arguments against Statistics Nonlinear null hypotheses Mechanism unknown
-52 mV
-72 mV
-72 mV
-72 mV
-52 mV
UP states promote precise firing patterns in response to thalamic input
50 mV
25 ms
Train of StimuliDuring DOWN state
Single Thalamic StimulationDuring DOWN state
Train of StimuliDuring UP state
1st Spike<2 ms jitter
2nd Spike<5 ms jitter
1st Spike40 ms jitter
Searching for repeats of activity in
a single neuronal recording
Examine the covariance, h(), between segments: (AxB), (AxC),...(BxC), (BxD),......
Two competing world views:How is perception shaped?
Feed Forward Feedback
Empiricism Nativism
Synchronizations correspond to maximum organization