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function method=MAPparamsJE ...
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(BFlist, sampleRate, showParams, paramChanges)
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% MAPparams<> establishes a complete set of MAP parameters
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% Parameter file names must be of the form <MAPparams> <name>
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%
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% input arguments
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% BFlist (optional) specifies the desired list of channel BFs
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% otherwise defaults set below
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% sampleRate (optional), default is 50000.
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% showParams (optional) =1 prints out the complete set of parameters
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% output argument
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% method passes a miscelleny of values
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global inputStimulusParams OMEParams DRNLParams IHC_cilia_RPParams
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global IHC_VResp_VivoParams IHCpreSynapseParams AN_IHCsynapseParams
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global MacGregorParams MacGregorMultiParams filteredSACFParams
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global experiment % used by calls from multiThreshold only
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currentFile=mfilename; % i.e. the name of this mfile
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method.parameterSource=currentFile(10:end); % for the record
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efferentDelay=0.010;
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method.segmentDuration=efferentDelay;
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if nargin<3, showParams=0; end
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if nargin<2, sampleRate=50000; end
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if nargin<1 || BFlist(1)<0 % if BFlist= -1, set BFlist to default
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lowestBF=250; highestBF= 8000; numChannels=21;
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% 21 chs (250-8k)includes BFs at 250 500 1000 2000 4000 8000
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BFlist=round(logspace(log10(lowestBF),log10(highestBF),numChannels));
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end
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% BFlist=1000;
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% preserve for backward campatibility
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method.nonlinCF=BFlist;
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method.dt=1/sampleRate;
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% set model parameters
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%% #1 inputStimulus
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inputStimulusParams=[];
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inputStimulusParams.sampleRate= sampleRate;
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%% #2 outerMiddleEar
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OMEParams=[]; % clear the structure first
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% outer ear resonances band pass filter [gain lp order hp]
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OMEParams.externalResonanceFilters= [ 10 1 1000 4000];
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% highpass stapes filter
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% Huber gives 2e-9 m at 80 dB and 1 kHz (2e-13 at 0 dB SPL)
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OMEParams.OMEstapesLPcutoff= 1000;
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OMEParams.stapesScalar= 45e-9;
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% Acoustic reflex: maximum attenuation should be around 25 dB Price (1966)
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% i.e. a minimum ratio of 0.056.
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% 'spikes' model: AR based on brainstem spiking activity (LSR)
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OMEParams.rateToAttenuationFactor=0.006; % * N(all ICspikes)
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% OMEParams.rateToAttenuationFactor=0; % * N(all ICspikes)
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% 'probability model': Ar based on AN firing probabilities (LSR)
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OMEParams.rateToAttenuationFactorProb=0.01;% * N(all ANrates)
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% OMEParams.rateToAttenuationFactorProb=0;% * N(all ANrates)
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% asymptote should be around 100-200 ms
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OMEParams.ARtau=.05; % AR smoothing function
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% delay must be longer than the segment length
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OMEParams.ARdelay=efferentDelay; %Moss gives 8.5 ms latency
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OMEParams.ARrateThreshold=0;
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%% #3 DRNL
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DRNLParams=[]; % clear the structure first
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DRNLParams.BFlist=BFlist;
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% DRNL nonlinear path
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DRNLParams.a=5e4; % DRNL.a=0 means no OHCs (no nonlinear path)
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DRNLParams.a=2e4; % DRNL.a=0 means no OHCs (no nonlinear path)
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DRNLParams.b=8e-6; % *compression threshold raised compression
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% DRNLParams.b=1; % b=1 means no compression
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DRNLParams.c=0.2; % compression exponent
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% nonlinear filters
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DRNLParams.nonlinCFs=BFlist;
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DRNLParams.nonlinOrder= 3; % order of nonlinear gammatone filters
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p=0.2895; q=170; % human (% p=0.14; q=366; % cat)
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DRNLParams.nlBWs= p * BFlist + q;
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DRNLParams.p=p; DRNLParams.q=q; % save p and q for printing only
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% DRNL linear path:
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DRNLParams.g=1000; % linear path gain factor
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% linCF is not necessarily the same as nonlinCF
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minLinCF=153.13; coeffLinCF=0.7341; % linCF>nonlinBF for BF < 1 kHz
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DRNLParams.linCFs=minLinCF+coeffLinCF*BFlist;
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DRNLParams.linOrder= 3; % order of linear gammatone filters
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minLinBW=100; coeffLinBW=0.6531;
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DRNLParams.linBWs=minLinBW + coeffLinBW*BFlist; % bandwidths of linear filters
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% DRNL MOC efferents
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DRNLParams.MOCdelay = efferentDelay; % must be < segment length!
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% 'spikes' model: MOC based on brainstem spiking activity (HSR)
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DRNLParams.rateToAttenuationFactor = .01; % strength of MOC
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% DRNLParams.rateToAttenuationFactor = 0; % strength of MOC
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% 'probability' model: MOC based on AN spiking activity (HSR)
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DRNLParams.rateToAttenuationFactorProb = .0055; % strength of MOC
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% DRNLParams.rateToAttenuationFactorProb = .0; % strength of MOC
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DRNLParams.MOCrateThresholdProb =70; % spikes/s probability only
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DRNLParams.MOCtau =.1; % smoothing for MOC
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%% #4 IHC_cilia_RPParams
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IHC_cilia_RPParams.tc= 0.0003; % 0.0003 filter time simulates viscocity
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% IHC_cilia_RPParams.tc= 0.0005; % 0.0003 filter time simulates viscocity
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IHC_cilia_RPParams.C= 0.03; % 0.1 scalar (C_cilia )
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IHC_cilia_RPParams.u0= 5e-9;
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IHC_cilia_RPParams.s0= 30e-9;
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IHC_cilia_RPParams.u1= 1e-9;
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IHC_cilia_RPParams.s1= 1e-9;
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IHC_cilia_RPParams.Gmax= 6e-9; % 2.5e-9 maximum conductance (Siemens)
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IHC_cilia_RPParams.Ga= 1e-9; % 4.3e-9 fixed apical membrane conductance
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IHC_cilia_RPParams.Ga= .8e-9; % 4.3e-9 fixed apical membrane conductance
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% #5 IHC_RP
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IHC_cilia_RPParams.Cab= 4e-012; % IHC capacitance (F)
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% IHC_cilia_RPParams.Cab= 1e-012; % IHC capacitance (F)
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IHC_cilia_RPParams.Et= 0.05; % endocochlear potential (V)
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IHC_cilia_RPParams.Gk= 2e-008; % 1e-8 potassium conductance (S)
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IHC_cilia_RPParams.Ek= -0.08; % -0.084 K equilibrium potential
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IHC_cilia_RPParams.Rpc= 0.04; % combined resistances
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%% #5 IHCpreSynapse
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IHCpreSynapseParams=[];
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IHCpreSynapseParams.GmaxCa= 14e-9;% maximum calcium conductance
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IHCpreSynapseParams.GmaxCa= 12e-9;% maximum calcium conductance
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IHCpreSynapseParams.ECa= 0.066; % calcium equilibrium potential
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IHCpreSynapseParams.beta= 400; % determine Ca channel opening
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IHCpreSynapseParams.gamma= 100; % determine Ca channel opening
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IHCpreSynapseParams.tauM= 0.00005; % membrane time constant ?0.1ms
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IHCpreSynapseParams.power= 3;
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% reminder: changing z has a strong effect on HF thresholds (like Et)
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IHCpreSynapseParams.z= 2e42; % scalar Ca -> vesicle release rate
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LSRtauCa=35e-6; HSRtauCa=85e-6; % seconds
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% LSRtauCa=35e-6; HSRtauCa=70e-6; % seconds
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IHCpreSynapseParams.tauCa= [LSRtauCa HSRtauCa]; %LSR and HSR fiber
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%% #6 AN_IHCsynapse
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% c=kym/(y(l+r)+kl) (spontaneous rate)
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% c=(approx) ym/l (saturated rate)
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AN_IHCsynapseParams=[]; % clear the structure first
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AN_IHCsynapseParams.M= 12; % maximum vesicles at synapse
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AN_IHCsynapseParams.y= 4; % depleted vesicle replacement rate
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AN_IHCsynapseParams.y= 6; % depleted vesicle replacement rate
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AN_IHCsynapseParams.x= 30; % replenishment from re-uptake store
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AN_IHCsynapseParams.x= 60; % replenishment from re-uptake store
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% reduce l to increase saturated rate
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AN_IHCsynapseParams.l= 100; % *loss rate of vesicles from the cleft
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AN_IHCsynapseParams.l= 250; % *loss rate of vesicles from the cleft
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AN_IHCsynapseParams.r= 500; % *reuptake rate from cleft into cell
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% AN_IHCsynapseParams.r= 300; % *reuptake rate from cleft into cell
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AN_IHCsynapseParams.refractory_period= 0.00075;
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% number of AN fibers at each BF (used only for spike generation)
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AN_IHCsynapseParams.numFibers= 100;
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AN_IHCsynapseParams.TWdelay=0.004; % ?delay before stimulus first spike
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AN_IHCsynapseParams.ANspeedUpFactor=5; % longer epochs for computing spikes.
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%% #7 MacGregorMulti (first order brainstem neurons)
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MacGregorMultiParams=[];
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MacGregorMultiType='chopper'; % MacGregorMultiType='primary-like'; %choose
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switch MacGregorMultiType
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case 'primary-like'
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MacGregorMultiParams.nNeuronsPerBF= 10; % N neurons per BF
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MacGregorMultiParams.type = 'primary-like cell';
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MacGregorMultiParams.fibersPerNeuron=4; % N input fibers
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MacGregorMultiParams.dendriteLPfreq=200; % dendritic filter
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MacGregorMultiParams.currentPerSpike=0.11e-6; % (A) per spike
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MacGregorMultiParams.Cap=4.55e-9; % cell capacitance (Siemens)
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MacGregorMultiParams.tauM=5e-4; % membrane time constant (s)
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MacGregorMultiParams.Ek=-0.01; % K+ eq. potential (V)
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MacGregorMultiParams.dGkSpike=3.64e-5; % K+ cond.shift on spike,S
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MacGregorMultiParams.tauGk= 0.0012; % K+ conductance tau (s)
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MacGregorMultiParams.Th0= 0.01; % equilibrium threshold (V)
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MacGregorMultiParams.c= 0.01; % threshold shift on spike, (V)
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MacGregorMultiParams.tauTh= 0.015; % variable threshold tau
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MacGregorMultiParams.Er=-0.06; % resting potential (V)
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MacGregorMultiParams.Eb=0.06; % spike height (V)
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case 'chopper'
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MacGregorMultiParams.nNeuronsPerBF= 10; % N neurons per BF
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MacGregorMultiParams.type = 'chopper cell';
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MacGregorMultiParams.fibersPerNeuron=10; % N input fibers
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% MacGregorMultiParams.fibersPerNeuron=6; % N input fibers
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MacGregorMultiParams.dendriteLPfreq=50; % dendritic filter
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MacGregorMultiParams.currentPerSpike=35e-9; % *per spike
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% MacGregorMultiParams.currentPerSpike=30e-9; % *per spike
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MacGregorMultiParams.Cap=1.67e-8; % ??cell capacitance (Siemens)
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MacGregorMultiParams.tauM=0.002; % membrane time constant (s)
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MacGregorMultiParams.Ek=-0.01; % K+ eq. potential (V)
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MacGregorMultiParams.dGkSpike=1.33e-4; % K+ cond.shift on spike,S
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MacGregorMultiParams.tauGk= 0.0005;% K+ conductance tau (s)
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MacGregorMultiParams.Th0= 0.01; % equilibrium threshold (V)
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MacGregorMultiParams.c= 0; % threshold shift on spike, (V)
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MacGregorMultiParams.tauTh= 0.02; % variable threshold tau
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MacGregorMultiParams.Er=-0.06; % resting potential (V)
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MacGregorMultiParams.Eb=0.06; % spike height (V)
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MacGregorMultiParams.PSTHbinWidth= 1e-4;
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end
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%% #8 MacGregor (second-order neuron). Only one per channel
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MacGregorParams=[]; % clear the structure first
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MacGregorParams.type = 'chopper cell';
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MacGregorParams.fibersPerNeuron=10; % N input fibers
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MacGregorParams.dendriteLPfreq=100; % dendritic filter
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MacGregorParams.currentPerSpike=120e-9;% *(A) per spike
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MacGregorParams.currentPerSpike=40e-9;% *(A) per spike
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MacGregorParams.Cap=16.7e-9; % cell capacitance (Siemens)
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MacGregorParams.tauM=0.002; % membrane time constant (s)
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MacGregorParams.Ek=-0.01; % K+ eq. potential (V)
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MacGregorParams.dGkSpike=1.33e-4; % K+ cond.shift on spike,S
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MacGregorParams.tauGk= 0.0005; % K+ conductance tau (s)
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MacGregorParams.Th0= 0.01; % equilibrium threshold (V)
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MacGregorParams.c= 0; % threshold shift on spike, (V)
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MacGregorParams.tauTh= 0.02; % variable threshold tau
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MacGregorParams.Er=-0.06; % resting potential (V)
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MacGregorParams.Eb=0.06; % spike height (V)
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MacGregorParams.debugging=0; % (special)
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% wideband accepts input from all channels (of same fiber type)
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% use wideband to create inhibitory units
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MacGregorParams.wideband=0; % special for wideband units
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% MacGregorParams.saveAllData=0;
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%% #9 filteredSACF
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minPitch= 300; maxPitch= 3000; numPitches=60; % specify lags
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pitches=100*log10(logspace(minPitch/100, maxPitch/100, numPitches));
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filteredSACFParams.lags=1./pitches; % autocorrelation lags vector
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filteredSACFParams.acfTau= .003; % time constant of running ACF
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filteredSACFParams.lambda= 0.12; % slower filter to smooth ACF
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filteredSACFParams.plotFilteredSACF=1; % 0 plots unfiltered ACFs
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filteredSACFParams.plotACFs=0; % special plot (see code)
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% filteredSACFParams.usePressnitzer=0; % attenuates ACF at long lags
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filteredSACFParams.lagsProcedure= 'useAllLags';
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% filteredSACFParams.lagsProcedure= 'useBernsteinLagWeights';
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% filteredSACFParams.lagsProcedure= 'omitShortLags';
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filteredSACFParams.criterionForOmittingLags=3;
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% checks
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if AN_IHCsynapseParams.numFibers<MacGregorMultiParams.fibersPerNeuron
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error('MacGregorMulti: too few input fibers for input to MacG unit')
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end
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%% now accept last minute parameter changes required by the calling program
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% paramChanges
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if nargin>3 && ~isempty(paramChanges)
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nChanges=length(paramChanges);
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for idx=1:nChanges
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eval(paramChanges{idx})
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end
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end
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%% write all parameters to the command window
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% showParams is currently set at the top of htis function
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if showParams
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fprintf('\n %%%%%%%%\n')
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fprintf('\n%s\n', method.parameterSource)
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fprintf('\n')
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nm=UTIL_paramsList(whos);
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for i=1:length(nm)
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% eval(['UTIL_showStruct(' nm{i} ', ''' nm{i} ''')'])
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if ~strcmp(nm(i), 'method')
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eval(['UTIL_showStructureSummary(' nm{i} ', ''' nm{i} ''', 10)'])
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end
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end
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% highlight parameter changes made locally
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if nargin>3 && ~isempty(paramChanges)
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fprintf('\n Local parameter changes:\n')
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for i=1:length(paramChanges)
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disp(paramChanges{i})
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end
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end
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end
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% for backward compatibility
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experiment.comparisonData=[];
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