亮度與對比度對貓初級視皮層神經(jīng)元反應(yīng)影響的研究
發(fā)布時(shí)間：2018-12-11 18:53
【摘要】：目的 本研究旨在從細(xì)胞水平研究不同視覺經(jīng)驗(yàn)條件下貓初級視皮層神經(jīng)元的反應(yīng)調(diào)制特性,并探討貓初級視皮層神經(jīng)元對亮度與對比度信息處理及編碼的神經(jīng)機(jī)制。 方法 利用在體單細(xì)胞細(xì)胞外記錄技術(shù),記錄麻醉狀態(tài)下成年貓V1區(qū)神經(jīng)元對不同亮度(5%-100%)及不同對比度(5%～100%)視覺刺激的反應(yīng)。分析神經(jīng)元的發(fā)放率(spike rate)及反應(yīng)潛時(shí)(response latency),分別繪制亮度調(diào)制曲線,對比度調(diào)制曲線,并進(jìn)行回歸擬合分析。分析發(fā)放率及反應(yīng)潛時(shí)的變異系數(shù)(C.V),通過C.V比較二者在神經(jīng)編碼中的效能。分析神經(jīng)元反應(yīng)的變異性(variability),以此判斷神經(jīng)元反應(yīng)的時(shí)間精度。 結(jié)果 1.貓V1區(qū)神經(jīng)元對不同亮度刺激的反應(yīng)： 貓V1區(qū)神經(jīng)元發(fā)放率隨亮度的增強(qiáng)而升高,在低亮度(5-20%)時(shí),發(fā)放率變化較明顯,而在亮度達(dá)到最大值的約40%后基本達(dá)到平臺(tái)期,發(fā)放率變化幅度降低,趨于穩(wěn)定�？傮w趨勢調(diào)制曲線符合Cubic回歸模型,回歸方程為：Y=4.957+2.283X-0.035X2+0.0002X3(P=0.000)。 神經(jīng)元反應(yīng)潛時(shí)隨亮度增強(qiáng)而縮短,在低亮度(5-20%)時(shí),潛時(shí)變化較明顯,而在亮度達(dá)到最大值的約40%以后,潛時(shí)變化幅度降低,趨于穩(wěn)定。總體趨勢調(diào)制曲線符合Inverse回歸模型,回歸方程為：Y=71.19+353.45/X(P=0.000)。 神經(jīng)元對不同亮度刺激反應(yīng)的潛時(shí)編碼的變異度小于發(fā)放率編碼,差異有統(tǒng)計(jì)學(xué)意義(P=0.000)。 神經(jīng)元反應(yīng)變異性隨亮度增強(qiáng)而減小,其在5-20%亮度時(shí)變化較大,而在亮度達(dá)到30%以后變化均無統(tǒng)計(jì)學(xué)意義,反應(yīng)的時(shí)間精度可達(dá)±5ms。 2.貓V1區(qū)神經(jīng)元對不同對比度刺激的反應(yīng)： 貓V1區(qū)神經(jīng)元發(fā)放率隨對比度增強(qiáng)而升高,在低對比度(5-20%)時(shí),發(fā)放率變化較明顯,而在對比度達(dá)到最大值的約40%后基本達(dá)到平臺(tái)期,發(fā)放率變化幅度降低,趨于穩(wěn)定�？傮w趨勢調(diào)制曲線符合Cubic回歸模型,回歸方程為Y=-0.660+1.540X-0.013X2+0.0003X3(P=0.000)。 神經(jīng)元反應(yīng)潛時(shí)隨對比度增強(qiáng)而縮短,在低對比度(5～20%)時(shí),潛時(shí)變化較明顯,而在對比度達(dá)到最大值的約40%以后,潛時(shí)變化幅度降低,趨于穩(wěn)定�？傮w趨勢調(diào)制曲線符合Inverse回歸模型,回歸方程為：Y=74.22+287.58/X(P=0.000)。 神經(jīng)元對不同對比度刺激反應(yīng)的潛時(shí)編碼的變異度小于發(fā)放率編碼,差異有統(tǒng)計(jì)學(xué)意義(P=0.000)。 神經(jīng)元反應(yīng)變異性隨對比度增強(qiáng)而減小,其在5-20%亮度時(shí)變化較大,而在亮度達(dá)到30%以后變化均無統(tǒng)計(jì)學(xué)意義,反應(yīng)的時(shí)間精度可達(dá)±5ms。 結(jié)論 發(fā)放率和反應(yīng)潛時(shí)是貓V1區(qū)神經(jīng)元對亮度及對比度信息進(jìn)行編碼重要機(jī)制,且潛時(shí)編碼較發(fā)放率編碼更為精確有效。神經(jīng)元發(fā)放率隨亮度或?qū)Ρ榷仍鰪?qiáng)而升高,反應(yīng)潛時(shí)及變異性隨亮度或?qū)Ρ榷鹊脑鰪?qiáng)而縮短。亮度或?qū)Ρ榷刃畔⒔档椭?0～40%以后可造成神經(jīng)元反應(yīng)的明顯改變,可被認(rèn)為是異常的視覺經(jīng)驗(yàn)。神經(jīng)元反應(yīng)的時(shí)間精度可達(dá)±5ms,有利于視覺信息的快速處理。
[Abstract]:Objective to investigate the modulation and response characteristics of primary visual cortex neurons in cats under different visual experiences at the cellular level and to explore the neural mechanism of brightness and contrast information processing and coding of primary visual cortex neurons in cats. Methods\ The luminance modulation curve and contrast modulation curve were drawn by (spike rate) and (response latency), respectively, and the regression fitting analysis was carried out. The release rate and the coefficient of variation (C.V) of response latency were analyzed, and the effectiveness of the two methods in neural coding was compared by means of C.V. The time accuracy of neuron response was evaluated by analyzing the variability of neuron response (variability),. Result 1. Responses of Cat V1 neurons to different luminance stimuli: the firing rate of Cat V1 neurons increased with the increase of luminance, and at low brightness (5-20%), the firing rate changed more obviously. When the luminance reaches about 40% of the maximum, it reaches the plateau stage, and the range of the distribution rate decreases and tends to be stable. The general trend modulation curve was in accordance with the Cubic regression model, and the regression equation was YT 4.957 2.283X-0.035X2 0.0002X3 (P0. 000). The latent time of neuronal response was shortened with the increase of brightness. When the brightness was low (5-20%), the latent time changed more obviously, but when the brightness reached about 40% of the maximum value, the amplitude of the latent time decreased and tended to be stable. The general trend modulation curve accords with the Inverse regression model, and the regression equation is: Yan 71.19 353.45% X (P0. 000). The variation of latent time coding of neurons to different luminance stimuli was lower than that of emitter rate (P0. 000). The variability of neuronal response decreased with the increase of luminance, which changed greatly at 5-20% brightness, but had no statistical significance after 30% brightness. The time precision of the reaction could reach 鹵5 Ms. 2. Responses of Cat V1 neurons to different contrast stimuli: the firing rate of Cat V1 neurons increased with the increase of contrast, and at low contrast (5-20%), the firing rate changed more obviously. After reaching the maximum contrast of about 40%, the distribution rate decreases and tends to be stable. The general trend modulation curve is consistent with the Cubic regression model, and the regression equation is Y-0.660 1.540X-0.013X2 0.0003X3 (P0. 000). The latent time of neuron response was shortened with the increase of contrast. When the contrast was low (5 ~ 20%), the latent time changed more obviously, but after the contrast reached about 40% of the maximum value, the amplitude of latent time decreased and tended to be stable. The general trend modulation curve accords with the Inverse regression model, and the regression equation is: Yan 74.22 287.58 / X (P0. 000). The variation of latent time coding of neurons to different contrast stimuli was lower than that of emitter rate (P0. 000). The variability of neuronal response decreased with the increase of contrast. It changed greatly at the brightness of 5-20%, but had no statistical significance after the brightness reached 30%, and the time precision of the reaction could reach 鹵5 Ms. Conclusion the firing rate and the response latency are important mechanisms for encoding the luminance and contrast information of the neurons in the V1 region of cats, and the latent time coding is more accurate and effective than the firing rate coding. The firing rate of neurons increased with the enhancement of brightness or contrast, and the latency and variability decreased with the enhancement of brightness or contrast. When the brightness or contrast information is reduced to 30 ~ 40%, it can cause obvious changes in neuronal response, which can be considered as abnormal visual experience. The time accuracy of neuronal response can reach 鹵5 Ms, which is beneficial to the rapid processing of visual information.
【學(xué)位授予單位】：天津醫(yī)科大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2010
【分類號】：R77
本文編號：2373051
[Abstract]:Objective to investigate the modulation and response characteristics of primary visual cortex neurons in cats under different visual experiences at the cellular level and to explore the neural mechanism of brightness and contrast information processing and coding of primary visual cortex neurons in cats. Methods\ The luminance modulation curve and contrast modulation curve were drawn by (spike rate) and (response latency), respectively, and the regression fitting analysis was carried out. The release rate and the coefficient of variation (C.V) of response latency were analyzed, and the effectiveness of the two methods in neural coding was compared by means of C.V. The time accuracy of neuron response was evaluated by analyzing the variability of neuron response (variability),. Result 1. Responses of Cat V1 neurons to different luminance stimuli: the firing rate of Cat V1 neurons increased with the increase of luminance, and at low brightness (5-20%), the firing rate changed more obviously. When the luminance reaches about 40% of the maximum, it reaches the plateau stage, and the range of the distribution rate decreases and tends to be stable. The general trend modulation curve was in accordance with the Cubic regression model, and the regression equation was YT 4.957 2.283X-0.035X2 0.0002X3 (P0. 000). The latent time of neuronal response was shortened with the increase of brightness. When the brightness was low (5-20%), the latent time changed more obviously, but when the brightness reached about 40% of the maximum value, the amplitude of the latent time decreased and tended to be stable. The general trend modulation curve accords with the Inverse regression model, and the regression equation is: Yan 71.19 353.45% X (P0. 000). The variation of latent time coding of neurons to different luminance stimuli was lower than that of emitter rate (P0. 000). The variability of neuronal response decreased with the increase of luminance, which changed greatly at 5-20% brightness, but had no statistical significance after 30% brightness. The time precision of the reaction could reach 鹵5 Ms. 2. Responses of Cat V1 neurons to different contrast stimuli: the firing rate of Cat V1 neurons increased with the increase of contrast, and at low contrast (5-20%), the firing rate changed more obviously. After reaching the maximum contrast of about 40%, the distribution rate decreases and tends to be stable. The general trend modulation curve is consistent with the Cubic regression model, and the regression equation is Y-0.660 1.540X-0.013X2 0.0003X3 (P0. 000). The latent time of neuron response was shortened with the increase of contrast. When the contrast was low (5 ~ 20%), the latent time changed more obviously, but after the contrast reached about 40% of the maximum value, the amplitude of latent time decreased and tended to be stable. The general trend modulation curve accords with the Inverse regression model, and the regression equation is: Yan 74.22 287.58 / X (P0. 000). The variation of latent time coding of neurons to different contrast stimuli was lower than that of emitter rate (P0. 000). The variability of neuronal response decreased with the increase of contrast. It changed greatly at the brightness of 5-20%, but had no statistical significance after the brightness reached 30%, and the time precision of the reaction could reach 鹵5 Ms. Conclusion the firing rate and the response latency are important mechanisms for encoding the luminance and contrast information of the neurons in the V1 region of cats, and the latent time coding is more accurate and effective than the firing rate coding. The firing rate of neurons increased with the enhancement of brightness or contrast, and the latency and variability decreased with the enhancement of brightness or contrast. When the brightness or contrast information is reduced to 30 ~ 40%, it can cause obvious changes in neuronal response, which can be considered as abnormal visual experience. The time accuracy of neuronal response can reach 鹵5 Ms, which is beneficial to the rapid processing of visual information.
【學(xué)位授予單位】：天津醫(yī)科大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2010
【分類號】：R77
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