Literature DB >> 19343490

The cost of linearization.

Danielle Morel1, William Levy.   

Abstract

Linear additivity of synaptic input is a pervasive assumption in computational neuroscience, and previously Bernander et al. (Journal of Neurophysiology 72:2743-2753, 1994) point out that the sublinear additivity of a passive neuronal model can be linearized with voltage-dependent currents. Here we re-examine this perspective in light of more recent findings and issues. Based on in vivo intracellular recordings, three voltage-dependent conductances seem to be of interest for pyramidal cells of the forebrain: two of them are amplifying, I ( NaP ) and I ( h ); and one of them is attenuating, I ( A ). Based on particular I-V characteristics reported in the literature, each of these three voltage-dependent currents linearizes a particular range of synaptic excitation. Computational simulations use a steady-state, one-compartment model. They establish maximal linear ranges, where supralinear effects-due to adding too much of any one conductance-limit these ranges. Specific, carefully selected pairwise combinations of these currents can linearize larger ranges than either current alone. In terms of parameters, the steady-state I-V characteristics of each current are critical. On the other hand, the relationships between the results here and resting conductance to ground, synaptic conductance, and number of active synapses are simple and easily scaled; thus in regard to these three latter dependences, the results here are easily generalized. Finally, to improve our understanding of evolved function, the relative metabolic costs of linearization are quantified. In one case, there is a clear preference arising from this cost consideration (a particular I ( h ), I ( NaP ) pairing is less costly compared to a particular I ( A ), I ( NaP ) pairing that produces an equivalent, linearized range). However in other cases, a preference will depend on the required range; but in any event, the largest linearized range observed here (28 mV), from a combination of I ( h ) and I ( A ), is significantly more costly than the 20 mV range that the I ( h ), I ( NaP ) pair produces.

Mesh:

Substances:

Year:  2009        PMID: 19343490     DOI: 10.1007/s10827-009-0141-y

Source DB:  PubMed          Journal:  J Comput Neurosci        ISSN: 0929-5313            Impact factor:   1.621


  47 in total

1.  Persistent sodium channel activity mediates subthreshold membrane potential oscillations and low-threshold spikes in rat entorhinal cortex layer V neurons.

Authors:  N Agrawal; B N Hamam; J Magistretti; A Alonso; D S Ragsdale
Journal:  Neuroscience       Date:  2001       Impact factor: 3.590

2.  Somatic EPSP amplitude is independent of synapse location in hippocampal pyramidal neurons.

Authors:  J C Magee; E P Cook
Journal:  Nat Neurosci       Date:  2000-09       Impact factor: 24.884

3.  Synaptic energy efficiency in retinal processing.

Authors:  Benjamin T Vincent; Roland J Baddeley
Journal:  Vision Res       Date:  2003-05       Impact factor: 1.886

Review 4.  The high-conductance state of neocortical neurons in vivo.

Authors:  Alain Destexhe; Michael Rudolph; Denis Paré
Journal:  Nat Rev Neurosci       Date:  2003-09       Impact factor: 34.870

5.  Correlating whisker behavior with membrane potential in barrel cortex of awake mice.

Authors:  Sylvain Crochet; Carl C H Petersen
Journal:  Nat Neurosci       Date:  2006-04-16       Impact factor: 24.884

Review 6.  The neuronal transfer function: contributions from voltage- and time-dependent mechanisms.

Authors:  Erik P Cook; Aude C Wilhelm; Jennifer A Guest; Yong Liang; Nicolas Y Masse; Costa M Colbert
Journal:  Prog Brain Res       Date:  2007       Impact factor: 2.453

7.  Spatiotemporal organization of simple-cell receptive fields in the cat's striate cortex. II. Linearity of temporal and spatial summation.

Authors:  G C DeAngelis; I Ohzawa; R D Freeman
Journal:  J Neurophysiol       Date:  1993-04       Impact factor: 2.714

8.  Impact of spontaneous synaptic activity on the resting properties of cat neocortical pyramidal neurons In vivo.

Authors:  D Paré; E Shink; H Gaudreau; A Destexhe; E J Lang
Journal:  J Neurophysiol       Date:  1998-03       Impact factor: 2.714

9.  Amplification and linearization of distal synaptic input to cortical pyramidal cells.

Authors:  O Bernander; C Koch; R J Douglas
Journal:  J Neurophysiol       Date:  1994-12       Impact factor: 2.714

10.  Dendritic glutamate receptor channels in rat hippocampal CA3 and CA1 pyramidal neurons.

Authors:  N Spruston; P Jonas; B Sakmann
Journal:  J Physiol       Date:  1995-01-15       Impact factor: 5.182

View more
  2 in total

1.  Linearization of excitatory synaptic integration at no extra cost.

Authors:  Danielle Morel; Chandan Singh; William B Levy
Journal:  J Comput Neurosci       Date:  2018-01-25       Impact factor: 1.621

2.  Pooling and correlated neural activity.

Authors:  Robert J Rosenbaum; James Trousdale; Kresimir Josić
Journal:  Front Comput Neurosci       Date:  2010-04-19       Impact factor: 2.380

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.