ABR frequency tuning curves in dolphins

Tone-tone masking was used to determine auditory brain-stem response tuning curves in dolphins (Tursiops truncatus) in a simultaneous-masking paradigm. The Q ₁₀ of the curves was as large as 16–19 in the frequency range 64–128 kHz. In the range 45–16 kHz, Q ₁₀ decreased proportionally to the frequency with the bandwidth of the curves being constant, about 3.5–4 kHz at the 10-dB level. Tuning curves below 45 kHz are supposed to reflect broad spectral bandwidth of the probe's effective part which is no longer than 0.5 ms, irrespective of actual probe duration. Tuning curves above 64 kHz are supposed to reflect the real frequency tuning of the dolphin's auditory system.Abbreviations ABR auditory brain stem response - AP action potential     

Speed encoding in correlation motion detectors as a consequence of spatial structure

For animals to carry out a wide range of detection, recognition and navigation tasks, visual motion signals are crucial. The encoding of motion information has therefore, attracted much attention in the experimental and computational study of brain function. Two main alternative mechanisms have been proposed on the basis of behavioural and physiological experiments. On one hand, correlation-type and motion energy detectors are simple and efficient in the design of their basic mechanism but are tuned to temporal frequency rather than to speed. On other hand, gradient-type motion detectors directly represent an estimate of speed, but may require more demanding processing mechanisms. We demonstrate here how the temporal frequency dependence observed for sine-wave gratings can disappear for less constrained stimuli, to be replaced by responses reflecting speed for stimuli like square waves when a phase-sensitive detection mechanism is employed. We conclude from these observations that temporal frequency tuning is not necessarily a limitation for motion vision based on correlation detectors, and more generally demonstrate in view of the typical Fourier composition of natural scenes, that correlation detectors operating in such environments can encode image speed. In the context of our results, we discuss the implications of the loss of phase sensitivity inherent in using a linear system approach to describe neural processing.     

大蹄蝠回声定位信号特征与下丘神经元频率调谐

采用超声监测仪录制超声信号和细胞外电生理记录下丘神经元的频率调谐曲线(frequency tuningcurqes,FTCs)的方法,探讨了大蹄蝠(Hipposideros armiger)回声定位信号与下丘(inferior colliculus,IC)神经元频率调谐之间的相关性.结果发现,大蹄蝠回声定位叫声为恒频-调频(consrant frequency-frequenevmodulated,CF-FM)信号,一般含有2-3个谐波,第二谐波为其主频,cF成分频率(Mean±SD,n=18)依次为:(33.3 4±0.2)、(66.5±0.3)、(99.4 4±0.5)kHz;电生理实验共获得72个神经元的频率调谐曲线,Q10-dB值的范围是0.5-95.4(9.2±14.6,rg=72),最佳频率(best frequency,BF)在回声定位主频附近的神经元具有尖锐的频率调谐特性.结果表明,大蹄蝠回声定位信号与下丘神经元频率调谐存在相关性,表现为最佳频率在回声定位信号主频附近的神经元频率调谐曲线的Q10-dB值较大,具有很强的频率分析能力.     

A cooperation and competition based simple cell receptive field model and study of feed-forward linear and nonlinear contributions to orientation selectivity

We present a model for development of orientation selectivity in layer IV simple cells. Receptive field (RF) development in the model, is determined by diffusive cooperation and resource limited competition guided axonal growth and retraction in geniculocortical pathway. The simulated cortical RFs resemble experimental RFs. The receptive field model is incorporated in a three-layer visual pathway model consisting of retina, LGN and cortex. We have studied the effect of activity dependent synaptic scaling on orientation tuning of cortical cells. The mean value of hwhh (half width at half the height of maximum response) in simulated cortical cells is 58° when we consider only the linear excitatory contribution from LGN. We observe a mean improvement of 22.8° in tuning response due to the non-linear spiking mechanisms that include effects of threshold voltage and synaptic scaling factor.     

tRNA residues that have coevolved with their anticodon to ensure uniform and accurate codon recognition

The structure, phylogeny and in vivo function of the base pair formed between nucleotides 32 and 38 of the tRNA anticodon loop are reviewed. The A32-U38 pair, which is highly conserved in tRNA2(Ala) and sometimes observed in tRNA2(Pro), was recently found to decrease the affinity of tRNAs to the ribosomal A site relative to other 32-38 combinations. This suggests that the role of 32-38 pair is to tune the tRNA affinity in the A site to a uniform value. New experiments presented here show that the U32C mutation in tRNA1(Gly) increases its affinity to the cognate codon and to codons with third position mismatches in the A site. This suggests that one reason for uniform tRNA binding to evolve was to avoid incorrect codon recognition.     

THE COMPLEX EVOLUTIONARY HISTORY OF SEEING RED: MOLECULAR PHYLOGENY AND THE EVOLUTION OF AN ADAPTIVE VISUAL SYSTEM IN DEEP‐SEA DRAGONFISHES (STOMIIFORMES: STOMIIDAE)

The vast majority of deep‐sea fishes have retinas composed of only rod cells sensitive to only shortwave blue light, approximately 480–490 nm. A group of deep‐sea dragonfishes, the loosejaws (family Stomiidae), possesses far‐red emitting photophores and rhodopsins sensitive to long‐wave emissions greater than 650 nm. In this study, the rhodopsin diversity within the Stomiidae is surveyed based on an analysis of rod opsin‐coding sequences from representatives of 23 of the 28 genera. Using phylogenetic inference, fossil‐calibrated estimates of divergence times, and a comparative approach scanning the stomiid phylogeny for shared genotypes and substitution histories, we explore the evolution and timing of spectral tuning in the family. Our results challenge both the monophyly of the family Stomiidae and the loosejaws. Despite paraphyly of the loosejaws, we infer for the first time that far‐red visual systems have a single evolutionary origin within the family and that this shift in phenotype occurred at approximately 15.4 Ma. In addition, we found strong evidence that at approximately 11.2 Ma the most recent common ancestor of two dragonfish genera reverted to a primitive shortwave visual system during its evolution from a far‐red sensitive dragonfish. According to branch‐site tests for adaptive evolution, we hypothesize that positive selection may be driving spectral tuning in the Stomiidae. These results indicate that the evolutionary history of visual systems in deep‐sea species is complex and a more thorough understanding of this system requires an integrative comparative approach.     

Frequency tuning curves of the dolphin's hearing: envelope-following response study

Simultaneous tone-tone masking in conjunction with the envelope-following response (EFR) recording was used to obtain tuning curves in dolphins (Turslops truncatus). The EFR was evoked by amplitude-modulated probes of various frequencies. A modulation rate of 600 Hz was found to fit the requirement to have a narrow spectrum and evoke EFR of large amplitude. Tuning curves were obtained within the frequency range from 11.2 to 110 kHz. The Q₁₀ values of the obtained tuning curves varied from 12–14 at the 11.2 kHz center frequency to 17–20 at the 64–90 kHz frequencies.Abbreviations ABR auditory brainstem response - EFR envelope following response - ERB equivalent rectangular bandwidth     

锐化蝙蝠听皮层神经元频率调谐的柱特征

用双声刺激和多管电极方法在 6只大棕蝠 (bigbrownbat,Eptesicusfuscus)的 98个神经元上研究了锐化 (sharpening)蝙蝠听皮层 (primaryauditorycortex ,AC)神经元频率调谐的柱特征。结果发现 ,电极直插在 1个电极通道内连续记录到多个神经元时 ,它们锐化频率调谐的抑制性调谐曲线或抑制区基本相似。电极与AC表面呈 45°斜向推入使其跨越多个功能柱时 ,可观察到锐化频率调谐的抑制区构成也随电极进入不同的功能柱而发生相应的改变。两种不同的电极插入方式均证明锐化AC神经元频率调谐的神经抑制呈柱状组构。这些神经元组合起来排列在同一听觉功能柱内 ,构成AC频率分析的基本功能组构单位“微频率处理器”。实验中还观察到多峰频率调谐曲线神经元 ,它们在声通讯和声定位中不同波谱区域的时间匹配中起作用。此外 ,也有理由认为多峰调谐神经元亦被用于作为复杂波谱信息的“高级调谐预处理器” ,从而极大地提高了神经元对频率分析的能力。为研究锐化频率调谐的神经抑制机制 ,用多管电极电泳γ -氨基丁酸 (γ aminobutyricacid ,GA BA)能a受体拮抗剂荷包牡丹碱 (bicuculline ,Bic)至所记录的神经元 ,发现能大部分或几乎全部取消抑制区 ,从而表明在正常情况下GABA能抑制参与构成锐化AC神经元频率调谐的抑制区 ,     

Pre-emptive Quality Control of a Misfolded Membrane Protein by Ribosome-Driven Effects

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WHICH QS TO CHOOSE: QUESTIONS OF QUALITY IN BIOACOUSTICS?

ABSTRACT

Two Q factors are in common use in bioacoustics: Q, the Quality Factor and Q_{10 dB}. The usage, definitions and separate application of these two terms can be traced back for more than 30 years. The two terms provide different measurements of the sharpness of tuning of e.g. acoustic systems. The two terms have been used in separate contexts and they measure different things. In view of the confusion that arises from the shared use of the letter Q, it is important that whichever Q is used is defined clearly in all publications.