Stability of spectro-temporal tuning over several seconds in primary auditory cortex of the awake ferret.
The steady-state spectro-temporal tuning of auditory cortical cells has been studied using a variety of broadband stimuli that characterize neurons by their steady-state responses to long duration stimuli, lasting from about a second to several minutes. Central sensory stations are thought to adapt in their response to stimuli presented over extended periods of time. For instance, we have previously shown that auditory cortical neurons display a second order of adaptation, whereby the rate of their adaptation to the repeated presentation of fixed alternating stimuli decreases with each presentation. The auditory grating (or ripple) method of characterizing central auditory neurons, and its extensions, have proven very effective. But these stimuli are typically used with spectro-temporal content held fixed over time-scales of seconds, introducing the possibility of rapid adaptation while the receptive field is being measured, whereas the neural response used to compute a spectro-temporal receptive field (STRF) assumes stationarity in the neural input/output function. We demonstrate dynamic changes in some parameters during the measurement of the STRF over a period of seconds, even absent of a relevant behavioral task. Specifically, we find in the primary auditory cortex of the awake ferret, small but systematic changes in duration and breadth of tuning of STRFs when comparing the early (0.25-1.75 s) and late (4.5-6 s) segments of the responses to these stimuli.
Shechter
B
B
Department of Anatomy and Neurobiology, School of Medicine, University of Maryland, Baltimore, MD 21201, USA.
Depireux
D A
DA
D000161:Acoustic Stimulation; D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D001303:Auditory Cortex / Q000033:anatomy & histology / Q000502:physiology*; D001306:Auditory Pathways / Q000502:physiology; D001307:Auditory Perception / Q000502:physiology*; D005072:Evoked Potentials, Auditory / Q000502:physiology*; D005289:Ferrets; D009473:Neuronal Plasticity / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D010898:Pitch Perception / Q000502:physiology; D011930:Reaction Time / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors; D013998:Time Perception / Q000502:physiology*
J Comput Neurosci. 2000 Jul-Aug;9(1):85-111
10946994
Hear Res. 2007 Jul;229(1-2):54-68
17344002
J Neurophysiol. 2001 Mar;85(3):1220-34
11247991
J Neurophysiol. 2002 Dec;88(6):3409-20
12466457
Neuron. 2002 Dec 5;36(5):909-19
12467594
J Neurophysiol. 2003 Aug;90(2):1324-32
12904511
J Neurophysiol. 2004 Feb;91(2):604-12
14762146
J Neurosci. 2004 Feb 4;24(5):1089-100
14762127
Nat Neurosci. 2004 Jul;7(7):764-72
15195097
Hear Res. 2004 Oct;196(1-2):119-33
15464309
J Neurophysiol. 1996 Nov;76(5):3503-23
8930289
J Neurophysiol. 1996 Nov;76(5):3524-34
8930290
Nature. 1997 Mar 6;386(6620):69-73
9052781
Science. 1998 May 29;280(5368):1439-43
9603734
Hear Res. 2005 Aug;206(1-2):159-76
16081006
J Neurophysiol. 2006 Jan;95(1):271-83
16192327
Hear Res. 2006 Nov;221(1-2):91-103
16982164
J Neurosci Methods. 2006 Dec 15;158(2):260-70
16814393
Neural Comput. 2007 Mar;19(3):583-638
17298227
J Neurosci Methods. 2007 Mar 30;161(1):101-11
17134761
Hear Res. 2007 Jul;229(1-2):158-70
17303356
J Neurosci. 2000 Sep 15;20(18):7011-6
10995846